diff --git a/404.html b/404.html
index 4c58910..cfe2f9d 100644
--- a/404.html
+++ b/404.html
@@ -6,73 +6,51 @@
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Page not found (404) • HybridExpress</title>
-<!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png">
-<link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png">
-<link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png">
-<link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png">
-<link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png">
-<link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png">
 <script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet">
-<link href="deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet">
-<!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet">
+<link href="deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet">
+<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
 <meta property="og:image" content="/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">HybridExpress</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.1.1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="articles/HybridExpress.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="articles/HybridExpress.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="logo.png" class="logo" alt=""><h1>Page not found (404)</h1>
-      
+
     </div>
 
 Content not found. Please use links in the navbar.
@@ -82,21 +60,19 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index f24f7fc..46c6c78 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>NA • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="NA"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>NA • HybridExpress</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet"><link href="deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="NA"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">HybridExpress</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.1.1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="articles/HybridExpress.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="articles/HybridExpress.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="logo.png" class="logo" alt=""><h1>NA</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/.github/CODE_OF_CONDUCT.md" class="external-link"><code>.github/CODE_OF_CONDUCT.md</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/.github/CODE_OF_CONDUCT.md" class="external-link"><code>.github/CODE_OF_CONDUCT.md</code></a></small>
     </div>
 
 
@@ -66,18 +51,18 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/SUPPORT.html b/SUPPORT.html
index e598b0a..eeb44f6 100644
--- a/SUPPORT.html
+++ b/SUPPORT.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
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+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/.github/SUPPORT.md" class="external-link"><code>.github/SUPPORT.md</code></a></small>
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 <div id="getting-help-with-hybridexpress" class="section level1">
@@ -76,23 +61,23 @@ <h2 id="what-happens-next">What happens next?<a class="anchor" aria-label="ancho
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-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
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 </div>
 
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index 2159d2f..7d9a29f 100644
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@@ -5,70 +5,45 @@
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
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@@ -90,7 +65,7 @@ <h4 data-toc-skip class="author">Fabricio
 Van de Peer</h4>
             <address class="author_afil">
       VIB-UGent Center for Plant Systems Biology, Ghent,
-Belgium<br><small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/vignettes/HybridExpress.Rmd" class="external-link"><code>vignettes/HybridExpress.Rmd</code></a></small>
+Belgium<br><small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/vignettes/HybridExpress.Rmd" class="external-link"><code>vignettes/HybridExpress.Rmd</code></a></small>
       <div class="d-none name"><code>HybridExpress.Rmd</code></div>
     </address>
 </address>
@@ -334,13 +309,13 @@ <h2 id="adding-midparent-expression-values">Adding midparent expression values<a
 <h2 id="normalizing-count-data">Normalizing count data<a class="anchor" aria-label="anchor" href="#normalizing-count-data"></a>
 </h2>
 <p>To normalize count data, the function <code><a href="../reference/add_size_factors.html">add_size_factors()</a></code>
-calculates size factors (used by <em><a href="https://bioconductor.org/packages/3.19/DESeq2" class="external-link">DESeq2</a></em> for
+calculates size factors (used by <em><a href="https://bioconductor.org/packages/3.20/DESeq2" class="external-link">DESeq2</a></em> for
 normalization) and adds them as an extra column in the colData slot of
 your <code>SummarizedExperiment</code> object. Such size factors are
 calculated using one of two methods:</p>
 <ol style="list-style-type: decimal">
 <li><p>By library size (default) using the ‘median of ratios’ method
-implemented in <em><a href="https://bioconductor.org/packages/3.19/DESeq2" class="external-link">DESeq2</a></em>.</p></li>
+implemented in <em><a href="https://bioconductor.org/packages/3.20/DESeq2" class="external-link">DESeq2</a></em>.</p></li>
 <li><p>By cell size/biomass using spike-in controls (if available). If
 spike-in controls are present in the count matrix, you can use them for
 normalization by setting <code>spikein = TRUE</code> and specifying the
@@ -476,7 +451,7 @@ <h2 id="identifying-differentially-expressed-genes-between-hybrids-and-their-par
 </h2>
 <p>To compare gene expression levels of hybrids to their progenitor
 species, you can use the function <code><a href="../reference/get_deg_list.html">get_deg_list()</a></code>. This
-function performs differential expression analyses using <em><a href="https://bioconductor.org/packages/3.19/DESeq2" class="external-link">DESeq2</a></em> and
+function performs differential expression analyses using <em><a href="https://bioconductor.org/packages/3.20/DESeq2" class="external-link">DESeq2</a></em> and
 returns a list of data frames with gene-wise test statistics for the
 following contrasts:</p>
 <ol style="list-style-type: decimal">
@@ -1006,7 +981,7 @@ <h2 class="unnumbered" id="faq">FAQ<a class="anchor" aria-label="anchor" href="#
 <code>SummarizedExperiment</code> object with:</p>
 <div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="co"># Create a SummarizedExperiment object</span></span>
-<span><span class="va">new_se</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/SummarizedExperiment/man/RangedSummarizedExperiment-class.html" class="external-link">SummarizedExperiment</a></span><span class="op">(</span></span>
+<span><span class="va">new_se</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/SummarizedExperiment/man/SummarizedExperiment-class.html" class="external-link">SummarizedExperiment</a></span><span class="op">(</span></span>
 <span>    assays <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>counts <span class="op">=</span> <span class="va">count_matrix</span><span class="op">)</span>,</span>
 <span>    colData <span class="op">=</span> <span class="va">coldata</span></span>
 <span><span class="op">)</span></span>
@@ -1021,7 +996,7 @@ <h2 class="unnumbered" id="faq">FAQ<a class="anchor" aria-label="anchor" href="#
 <span><span class="co">#&gt; colnames(18): S1 S2 ... S17 S18</span></span>
 <span><span class="co">#&gt; colData names(2): Ploidy Generation</span></span></code></pre></div>
 <p>For more details on this data structure, read the vignette of the
-<em><a href="https://bioconductor.org/packages/3.19/SummarizedExperiment" class="external-link">SummarizedExperiment</a></em>
+<em><a href="https://bioconductor.org/packages/3.20/SummarizedExperiment" class="external-link">SummarizedExperiment</a></em>
 package.</p>
 </div>
 <div class="section level2">
@@ -1030,111 +1005,108 @@ <h2 class="unnumbered" id="session-information">Session information<a class="anc
 <p>This document was created under the following conditions:</p>
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 <span><span class="co">#&gt;  <span style="color: #555555; font-style: italic;">setting </span> <span style="color: #555555; font-style: italic;">value</span></span></span>
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-<span><span class="co">#&gt;  stringi                1.8.3     <span style="color: #555555;">2023-12-11</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  stringr                1.5.1     <span style="color: #555555;">2023-11-14</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  SummarizedExperiment * 1.33.3    <span style="color: #555555;">2024-01-23</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.19 (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  systemfonts            1.0.5     <span style="color: #555555;">2023-10-09</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  textshaping            0.3.7     <span style="color: #555555;">2023-10-09</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  tibble                 3.2.1     <span style="color: #555555;">2023-03-20</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  tidyselect             1.2.0     <span style="color: #555555;">2022-10-10</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  utf8                   1.2.4     <span style="color: #555555;">2023-10-22</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  vctrs                  0.6.5     <span style="color: #555555;">2023-12-01</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  withr                  3.0.0     <span style="color: #555555;">2024-01-16</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  xfun                   0.42      <span style="color: #555555;">2024-02-08</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  XVector                0.43.1    <span style="color: #555555;">2024-01-10</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.19 (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  yaml                   2.3.8     <span style="color: #555555;">2023-12-11</span> <span style="color: #555555;">[2]</span> <span style="color: #555555;">CRAN (R 4.4.0)</span></span></span>
-<span><span class="co">#&gt;  zlibbioc               1.49.0    <span style="color: #555555;">2023-10-24</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor</span></span></span>
+<span><span class="co">#&gt;  <span style="color: #555555; font-style: italic;">package             </span> <span style="color: #555555; font-style: italic;">*</span> <span style="color: #555555; font-style: italic;">version </span> <span style="color: #555555; font-style: italic;">date (UTC)</span> <span style="color: #555555; font-style: italic;">lib</span> <span style="color: #555555; font-style: italic;">source</span></span></span>
+<span><span class="co">#&gt;  abind                  1.4-5    <span style="color: #555555;">2016-07-21</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  Biobase              * 2.65.1   <span style="color: #555555;">2024-08-28</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  BiocGenerics         * 0.51.1   <span style="color: #555555;">2024-09-03</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  BiocManager            1.30.25  <span style="color: #555555;">2024-08-28</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  BiocParallel           1.39.0   <span style="color: #555555;">2024-05-01</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  BiocStyle            * 2.33.1   <span style="color: #555555;">2024-06-12</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  bookdown               0.40     <span style="color: #555555;">2024-07-02</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  bslib                  0.8.0    <span style="color: #555555;">2024-07-29</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  cachem                 1.1.0    <span style="color: #555555;">2024-05-16</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  circlize               0.4.16   <span style="color: #555555;">2024-02-20</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  cli                    3.6.3    <span style="color: #555555;">2024-06-21</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  clue                   0.3-65   <span style="color: #555555;">2023-09-23</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  cluster                2.1.6    <span style="color: #555555;">2023-12-01</span> <span style="color: #555555;">[3]</span> <span style="color: #555555;">CRAN (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  codetools              0.2-20   <span style="color: #555555;">2024-03-31</span> <span style="color: #555555;">[3]</span> <span style="color: #555555;">CRAN (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  colorspace             2.1-1    <span style="color: #555555;">2024-07-26</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  ComplexHeatmap         2.21.0   <span style="color: #555555;">2024-05-01</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  crayon                 1.5.3    <span style="color: #555555;">2024-06-20</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  DelayedArray           0.31.11  <span style="color: #555555;">2024-08-04</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  desc                   1.4.3    <span style="color: #555555;">2023-12-10</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  DESeq2                 1.45.3   <span style="color: #555555;">2024-07-24</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  digest                 0.6.37   <span style="color: #555555;">2024-08-19</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  doParallel             1.0.17   <span style="color: #555555;">2022-02-07</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  dplyr                  1.1.4    <span style="color: #555555;">2023-11-17</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  evaluate               0.24.0   <span style="color: #555555;">2024-06-10</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  fansi                  1.0.6    <span style="color: #555555;">2023-12-08</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  farver                 2.1.2    <span style="color: #555555;">2024-05-13</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  fastmap                1.2.0    <span style="color: #555555;">2024-05-15</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  foreach                1.5.2    <span style="color: #555555;">2022-02-02</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  fs                     1.6.4    <span style="color: #555555;">2024-04-25</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  generics               0.1.3    <span style="color: #555555;">2022-07-05</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  GenomeInfoDb         * 1.41.1   <span style="color: #555555;">2024-05-24</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  GenomeInfoDbData       1.2.12   <span style="color: #555555;">2024-06-24</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor</span></span></span>
+<span><span class="co">#&gt;  GenomicRanges        * 1.57.1   <span style="color: #555555;">2024-06-12</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  GetoptLong             1.0.5    <span style="color: #555555;">2020-12-15</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  ggplot2                3.5.1    <span style="color: #555555;">2024-04-23</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  GlobalOptions          0.1.2    <span style="color: #555555;">2020-06-10</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  glue                   1.7.0    <span style="color: #555555;">2024-01-09</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  gtable                 0.3.5    <span style="color: #555555;">2024-04-22</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  highr                  0.11     <span style="color: #555555;">2024-05-26</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  htmltools              0.5.8.1  <span style="color: #555555;">2024-04-04</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  htmlwidgets            1.6.4    <span style="color: #555555;">2023-12-06</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  httr                   1.4.7    <span style="color: #555555;">2023-08-15</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  HybridExpress        * 1.1.1    <span style="color: #555555;">2024-09-05</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor</span></span></span>
+<span><span class="co">#&gt;  IRanges              * 2.39.2   <span style="color: #555555;">2024-07-17</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  iterators              1.0.14   <span style="color: #555555;">2022-02-05</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  jquerylib              0.1.4    <span style="color: #555555;">2021-04-26</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  jsonlite               1.8.8    <span style="color: #555555;">2023-12-04</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  knitr                  1.48     <span style="color: #555555;">2024-07-07</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  labeling               0.4.3    <span style="color: #555555;">2023-08-29</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  lattice                0.22-6   <span style="color: #555555;">2024-03-20</span> <span style="color: #555555;">[3]</span> <span style="color: #555555;">CRAN (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  lifecycle              1.0.4    <span style="color: #555555;">2023-11-07</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  locfit                 1.5-9.10 <span style="color: #555555;">2024-06-24</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  magrittr               2.0.3    <span style="color: #555555;">2022-03-30</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  Matrix                 1.7-0    <span style="color: #555555;">2024-04-26</span> <span style="color: #555555;">[3]</span> <span style="color: #555555;">CRAN (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  MatrixGenerics       * 1.17.0   <span style="color: #555555;">2024-05-01</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  matrixStats          * 1.3.0    <span style="color: #555555;">2024-04-11</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  munsell                0.5.1    <span style="color: #555555;">2024-04-01</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  patchwork              1.2.0    <span style="color: #555555;">2024-01-08</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  pillar                 1.9.0    <span style="color: #555555;">2023-03-22</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  pkgconfig              2.0.3    <span style="color: #555555;">2019-09-22</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  pkgdown                2.1.0    <span style="color: #555555;">2024-07-06</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  png                    0.1-8    <span style="color: #555555;">2022-11-29</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  R6                     2.5.1    <span style="color: #555555;">2021-08-19</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  ragg                   1.3.2    <span style="color: #555555;">2024-05-15</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  RColorBrewer           1.1-3    <span style="color: #555555;">2022-04-03</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  Rcpp                   1.0.13   <span style="color: #555555;">2024-07-17</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  rjson                  0.2.22   <span style="color: #555555;">2024-08-20</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  rlang                  1.1.4    <span style="color: #555555;">2024-06-04</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  rmarkdown              2.28     <span style="color: #555555;">2024-08-17</span> <span style="color: #555555;">[1]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  S4Arrays               1.5.7    <span style="color: #555555;">2024-08-06</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  S4Vectors            * 0.43.2   <span style="color: #555555;">2024-07-17</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.1)</span></span></span>
+<span><span class="co">#&gt;  sass                   0.4.9    <span style="color: #555555;">2024-03-15</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
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+<span><span class="co">#&gt;  yaml                   2.3.10   <span style="color: #555555;">2024-07-26</span> <span style="color: #555555;">[2]</span> <span style="color: #BB00BB; font-weight: bold;">RSPM (R 4.4.0)</span></span></span>
+<span><span class="co">#&gt;  zlibbioc               1.51.1   <span style="color: #555555;">2024-06-05</span> <span style="color: #555555;">[1]</span> <span style="color: #555555;">Bioconductor 3.20 (R 4.4.0)</span></span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; <span style="color: #555555;"> [1] /__w/_temp/Library</span></span></span>
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@@ -1145,7 +1117,7 @@ <h2 class="unnumbered" id="session-information">Session information<a class="anc
 <div class="section level2">
 <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
 </h2>
-<div id="refs" class="references csl-bib-body hanging-indent">
+<div id="refs" class="references csl-bib-body hanging-indent" entry-spacing="0">
 <div id="ref-coate2023beyond" class="csl-entry">
 Coate, Jeremy E. 2023. <span>“Beyond Transcript Concentrations:
 Quantifying Polyploid Expression Responses Per Biomass, Per Genome, and
@@ -1160,28 +1132,26 @@ <h2 class="unnumbered" id="references">References<a class="anchor" aria-label="a
 </div>
 </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/articles/index.html b/articles/index.html
index 4c87a59..9cb1db4 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -1,44 +1,29 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a class="navbar-brand me-2" href="../index.html">HybridExpress</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.1.1</small>
+
 
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@@ -48,7 +33,7 @@
 
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-      <p class="section-desc"></p>
+      <div class="section-desc"></div>
 
       <dl><dt><a href="HybridExpress.html">Comparative transcriptomic analysis of hybrids and their progenitors</a></dt>
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@@ -57,18 +42,18 @@ <h3>All vignettes</h3>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
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 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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@@ -1,44 +1,29 @@
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     <a class="navbar-brand me-2" href="index.html">HybridExpress</a>
 
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@@ -46,9 +31,9 @@
       <img src="logo.png" class="logo" alt=""><h1>Authors and Citation</h1>
     </div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2>Authors</h2>
-      
+
       <ul class="list-unstyled"><li>
           <p><strong>Fabricio Almeida-Silva</strong>. Author, maintainer. <a href="https://orcid.org/0000-0002-5314-2964" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a>
           </p>
@@ -63,39 +48,40 @@ <h2>Authors</h2>
         </li>
       </ul></div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2 id="citation">Citation</h2>
-      <p><small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
+      <p><small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
 
       <p>Almeida-Silva F, Prost-Boxoen L, Van de Peer Y (2024).
 <em>HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors</em>.
-R package version 0.99.0, <a href="https://github.com/almeidasilvaf/HybridExpress" class="external-link">https://github.com/almeidasilvaf/HybridExpress</a>. 
+R package version 1.1.1, <a href="https://github.com/almeidasilvaf/HybridExpress" class="external-link">https://github.com/almeidasilvaf/HybridExpress</a>.
 </p>
       <pre>@Manual{,
   title = {HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors},
   author = {Fabricio Almeida-Silva and Lucas Prost-Boxoen and Yves {Van de Peer}},
   year = {2024},
-  note = {R package version 0.99.0},
+  note = {R package version 1.1.1},
   url = {https://github.com/almeidasilvaf/HybridExpress},
 }</pre>
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     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
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index 307d6bc..009177d 100644
--- a/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -2,4 +2,4 @@
    * Bootstrap  v5.3.1 (https://getbootstrap.com/)
    * Copyright 2011-2023 The Bootstrap Authors
    * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
-   */:root,[data-bs-theme="light"]{--bs-blue: #0d6efd;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #d63384;--bs-red: #dc3545;--bs-orange: #fd7e14;--bs-yellow: #ffc107;--bs-green: #198754;--bs-teal: #20c997;--bs-cyan: #0dcaf0;--bs-black: #000;--bs-white: #fff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #adb5bd;--bs-gray-600: #6c757d;--bs-gray-700: #495057;--bs-gray-800: #343a40;--bs-gray-900: #212529;--bs-default: #dee2e6;--bs-primary: #18416A;--bs-secondary: #6c757d;--bs-success: #198754;--bs-info: #0dcaf0;--bs-warning: #ffc107;--bs-danger: #dc3545;--bs-light: #f8f9fa;--bs-dark: #212529;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 24,65,106;--bs-secondary-rgb: 108,117,125;--bs-success-rgb: 25,135,84;--bs-info-rgb: 13,202,240;--bs-warning-rgb: 255,193,7;--bs-danger-rgb: 220,53,69;--bs-light-rgb: 248,249,250;--bs-dark-rgb: 33,37,41;--bs-primary-text-emphasis: 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-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) 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var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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.show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: #18416a;--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: #18416a;--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%230a1a2a'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #8ca0b5;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(24,65,106,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media 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.accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23748da6'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(24,65,106,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #18416A;--bs-pagination-active-border-color: #18416A;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) 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reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #18416A;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid 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var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(24,65,106,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto 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var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 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.4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:"Atkinson Hyperlegible";font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) 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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * 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var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(24,65,106,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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.accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23748da6'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23748da6'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(24,65,106,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #18416A;--bs-pagination-active-border-color: #18416A;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #18416A;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #18416A;--bs-list-group-active-border-color: #18416A;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(24,65,106,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto 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var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 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.modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down 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diff --git a/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js b/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
new file mode 100644
index 0000000..c628326
--- /dev/null
+++ b/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
@@ -0,0 +1,5 @@
+/*!
+ * Bootstrap Table of Contents v1.0.1 (http://afeld.github.io/bootstrap-toc/)
+ * Copyright 2015 Aidan Feldman
+ * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */
+!function(a){"use strict";window.Toc={helpers:{findOrFilter:function(e,t){var n=e.find(t);return e.filter(t).add(n).filter(":not([data-toc-skip])")},generateUniqueIdBase:function(e){return a(e).text().trim().replace(/\'/gi,"").replace(/[& +$,:;=?@"#{}|^~[`%!'<>\]\.\/\(\)\*\\\n\t\b\v]/g,"-").replace(/-{2,}/g,"-").substring(0,64).replace(/^-+|-+$/gm,"").toLowerCase()||e.tagName.toLowerCase()},generateUniqueId:function(e){for(var t=this.generateUniqueIdBase(e),n=0;;n++){var r=t;if(0<n&&(r+="-"+n),!document.getElementById(r))return r}},generateAnchor:function(e){if(e.id)return e.id;var t=this.generateUniqueId(e);return e.id=t},createNavList:function(){return a('<ul class="nav navbar-nav"></ul>')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('<a class="nav-link"></a>');n.attr("href","#"+e),n.text(t);var r=a("<li></li>");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1<this.findOrFilter(e,"h"+t).length)return t}return 1},getHeadings:function(e,t){var n="h"+t,r="h"+(t+1);return this.findOrFilter(e,n+","+r)},getNavLevel:function(e){return parseInt(e.tagName.charAt(1),10)},populateNav:function(r,a,e){var i,s=r,c=this;e.each(function(e,t){var n=c.generateNavItem(t);c.getNavLevel(t)===a?s=r:i&&s===r&&(s=c.createChildNavList(i)),s.append(n),i=n})},parseOps:function(e){var t;return(t=e.jquery?{$nav:e}:e).$scope=t.$scope||a(document.body),t}},init:function(e){(e=this.helpers.parseOps(e)).$nav.attr("data-toggle","toc");var t=this.helpers.createChildNavList(e.$nav),n=this.helpers.getTopLevel(e.$scope),r=this.helpers.getHeadings(e.$scope,n);this.helpers.populateNav(t,n,r)}},a(function(){a('nav[data-toggle="toc"]').each(function(e,t){var n=a(t);Toc.init(n)})})}(jQuery);
\ No newline at end of file
diff --git a/deps/clipboard.js-2.0.11/clipboard.min.js b/deps/clipboard.js-2.0.11/clipboard.min.js
new file mode 100644
index 0000000..1103f81
--- /dev/null
+++ b/deps/clipboard.js-2.0.11/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.11
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},n="";return"string"==typeof t?n=o(t,e):t instanceof HTMLInputElement&&!["text","search","url","tel","password"].includes(null==t?void 0:t.type)?n=o(t.value,e):(n=r()(t),c("copy")),n};function l(t){return(l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==l(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. 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e=t.delegateTarget||t.currentTarget,n=this.action(e)||"copy",t=s({action:n,container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:n,text:t,trigger:e,clearSelection:function(){e&&e.focus(),window.getSelection().removeAllRanges()}})}},{key:"defaultAction",value:function(t){return m("action",t)}},{key:"defaultTarget",value:function(t){t=m("target",t);if(t)return document.querySelector(t)}},{key:"defaultText",value:function(t){return m("text",t)}},{key:"destroy",value:function(){this.listener.destroy()}}])&&d(t.prototype,e),n&&d(t,n),r}()},828:function(t){var e;"undefined"==typeof Element||Element.prototype.matches||((e=Element.prototype).matches=e.matchesSelector||e.mozMatchesSelector||e.msMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector),t.exports=function(t,e){for(;t&&9!==t.nodeType;){if("function"==typeof t.matches&&t.matches(e))return t;t=t.parentNode}}},438:function(t,e,n){var u=n(828);function i(t,e,n,o,r){var 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\ No newline at end of file
diff --git a/deps/data-deps.txt b/deps/data-deps.txt
index e001b4d..7a1fd6e 100644
--- a/deps/data-deps.txt
+++ b/deps/data-deps.txt
@@ -2,5 +2,14 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
-<link href="deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet" />
-<link href="deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet" />
+<link href="deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet" />
+<link href="deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
+<script src="deps/headroom-0.11.0/headroom.min.js"></script>
+<script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script>
+<script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script>
+<script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script>
+<script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script>
+<script src="deps/search-1.0.0/fuse.min.js"></script>
+<script src="deps/search-1.0.0/mark.min.js"></script>
diff --git a/deps/font-awesome-6.4.2/css/all.css b/deps/font-awesome-6.4.2/css/all.css
new file mode 100644
index 0000000..bdb6e3a
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.css
@@ -0,0 +1,7968 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa {
+  font-family: var(--fa-style-family, "Font Awesome 6 Free");
+  font-weight: var(--fa-style, 900); }
+
+.fa,
+.fa-classic,
+.fa-sharp,
+.fas,
+.fa-solid,
+.far,
+.fa-regular,
+.fab,
+.fa-brands {
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-font-smoothing: antialiased;
+  display: var(--fa-display, inline-block);
+  font-style: normal;
+  font-variant: normal;
+  line-height: 1;
+  text-rendering: auto; }
+
+.fas,
+.fa-classic,
+.fa-solid,
+.far,
+.fa-regular {
+  font-family: 'Font Awesome 6 Free'; }
+
+.fab,
+.fa-brands {
+  font-family: 'Font Awesome 6 Brands'; }
+
+.fa-1x {
+  font-size: 1em; }
+
+.fa-2x {
+  font-size: 2em; }
+
+.fa-3x {
+  font-size: 3em; }
+
+.fa-4x {
+  font-size: 4em; }
+
+.fa-5x {
+  font-size: 5em; }
+
+.fa-6x {
+  font-size: 6em; }
+
+.fa-7x {
+  font-size: 7em; }
+
+.fa-8x {
+  font-size: 8em; }
+
+.fa-9x {
+  font-size: 9em; }
+
+.fa-10x {
+  font-size: 10em; }
+
+.fa-2xs {
+  font-size: 0.625em;
+  line-height: 0.1em;
+  vertical-align: 0.225em; }
+
+.fa-xs {
+  font-size: 0.75em;
+  line-height: 0.08333em;
+  vertical-align: 0.125em; }
+
+.fa-sm {
+  font-size: 0.875em;
+  line-height: 0.07143em;
+  vertical-align: 0.05357em; }
+
+.fa-lg {
+  font-size: 1.25em;
+  line-height: 0.05em;
+  vertical-align: -0.075em; }
+
+.fa-xl {
+  font-size: 1.5em;
+  line-height: 0.04167em;
+  vertical-align: -0.125em; }
+
+.fa-2xl {
+  font-size: 2em;
+  line-height: 0.03125em;
+  vertical-align: -0.1875em; }
+
+.fa-fw {
+  text-align: center;
+  width: 1.25em; }
+
+.fa-ul {
+  list-style-type: none;
+  margin-left: var(--fa-li-margin, 2.5em);
+  padding-left: 0; }
+  .fa-ul > li {
+    position: relative; }
+
+.fa-li {
+  left: calc(var(--fa-li-width, 2em) * -1);
+  position: absolute;
+  text-align: center;
+  width: var(--fa-li-width, 2em);
+  line-height: inherit; }
+
+.fa-border {
+  border-color: var(--fa-border-color, #eee);
+  border-radius: var(--fa-border-radius, 0.1em);
+  border-style: var(--fa-border-style, solid);
+  border-width: var(--fa-border-width, 0.08em);
+  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); }
+
+.fa-pull-left {
+  float: left;
+  margin-right: var(--fa-pull-margin, 0.3em); }
+
+.fa-pull-right {
+  float: right;
+  margin-left: var(--fa-pull-margin, 0.3em); }
+
+.fa-beat {
+  -webkit-animation-name: fa-beat;
+          animation-name: fa-beat;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-bounce {
+  -webkit-animation-name: fa-bounce;
+          animation-name: fa-bounce;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); }
+
+.fa-fade {
+  -webkit-animation-name: fa-fade;
+          animation-name: fa-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-beat-fade {
+  -webkit-animation-name: fa-beat-fade;
+          animation-name: fa-beat-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-flip {
+  -webkit-animation-name: fa-flip;
+          animation-name: fa-flip;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-shake {
+  -webkit-animation-name: fa-shake;
+          animation-name: fa-shake;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 2s);
+          animation-duration: var(--fa-animation-duration, 2s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin-reverse {
+  --fa-animation-direction: reverse; }
+
+.fa-pulse,
+.fa-spin-pulse {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, steps(8));
+          animation-timing-function: var(--fa-animation-timing, steps(8)); }
+
+@media (prefers-reduced-motion: reduce) {
+  .fa-beat,
+  .fa-bounce,
+  .fa-fade,
+  .fa-beat-fade,
+  .fa-flip,
+  .fa-pulse,
+  .fa-shake,
+  .fa-spin,
+  .fa-spin-pulse {
+    -webkit-animation-delay: -1ms;
+            animation-delay: -1ms;
+    -webkit-animation-duration: 1ms;
+            animation-duration: 1ms;
+    -webkit-animation-iteration-count: 1;
+            animation-iteration-count: 1;
+    -webkit-transition-delay: 0s;
+            transition-delay: 0s;
+    -webkit-transition-duration: 0s;
+            transition-duration: 0s; } }
+
+@-webkit-keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@-webkit-keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@-webkit-keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@-webkit-keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@-webkit-keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@-webkit-keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+.fa-rotate-90 {
+  -webkit-transform: rotate(90deg);
+          transform: rotate(90deg); }
+
+.fa-rotate-180 {
+  -webkit-transform: rotate(180deg);
+          transform: rotate(180deg); }
+
+.fa-rotate-270 {
+  -webkit-transform: rotate(270deg);
+          transform: rotate(270deg); }
+
+.fa-flip-horizontal {
+  -webkit-transform: scale(-1, 1);
+          transform: scale(-1, 1); }
+
+.fa-flip-vertical {
+  -webkit-transform: scale(1, -1);
+          transform: scale(1, -1); }
+
+.fa-flip-both,
+.fa-flip-horizontal.fa-flip-vertical {
+  -webkit-transform: scale(-1, -1);
+          transform: scale(-1, -1); }
+
+.fa-rotate-by {
+  -webkit-transform: rotate(var(--fa-rotate-angle, none));
+          transform: rotate(var(--fa-rotate-angle, none)); }
+
+.fa-stack {
+  display: inline-block;
+  height: 2em;
+  line-height: 2em;
+  position: relative;
+  vertical-align: middle;
+  width: 2.5em; }
+
+.fa-stack-1x,
+.fa-stack-2x {
+  left: 0;
+  position: absolute;
+  text-align: center;
+  width: 100%;
+  z-index: var(--fa-stack-z-index, auto); }
+
+.fa-stack-1x {
+  line-height: inherit; }
+
+.fa-stack-2x {
+  font-size: 2em; }
+
+.fa-inverse {
+  color: var(--fa-inverse, #fff); }
+
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+readers do not read off random characters that represent icons */
+
+.fa-0::before {
+  content: "\30"; }
+
+.fa-1::before {
+  content: "\31"; }
+
+.fa-2::before {
+  content: "\32"; }
+
+.fa-3::before {
+  content: "\33"; }
+
+.fa-4::before {
+  content: "\34"; }
+
+.fa-5::before {
+  content: "\35"; }
+
+.fa-6::before {
+  content: "\36"; }
+
+.fa-7::before {
+  content: "\37"; }
+
+.fa-8::before {
+  content: "\38"; }
+
+.fa-9::before {
+  content: "\39"; }
+
+.fa-fill-drip::before {
+  content: "\f576"; }
+
+.fa-arrows-to-circle::before {
+  content: "\e4bd"; }
+
+.fa-circle-chevron-right::before {
+  content: "\f138"; }
+
+.fa-chevron-circle-right::before {
+  content: "\f138"; }
+
+.fa-at::before {
+  content: "\40"; }
+
+.fa-trash-can::before {
+  content: "\f2ed"; }
+
+.fa-trash-alt::before {
+  content: "\f2ed"; }
+
+.fa-text-height::before {
+  content: "\f034"; }
+
+.fa-user-xmark::before {
+  content: "\f235"; }
+
+.fa-user-times::before {
+  content: "\f235"; }
+
+.fa-stethoscope::before {
+  content: "\f0f1"; }
+
+.fa-message::before {
+  content: "\f27a"; }
+
+.fa-comment-alt::before {
+  content: "\f27a"; }
+
+.fa-info::before {
+  content: "\f129"; }
+
+.fa-down-left-and-up-right-to-center::before {
+  content: "\f422"; }
+
+.fa-compress-alt::before {
+  content: "\f422"; }
+
+.fa-explosion::before {
+  content: "\e4e9"; }
+
+.fa-file-lines::before {
+  content: "\f15c"; }
+
+.fa-file-alt::before {
+  content: "\f15c"; }
+
+.fa-file-text::before {
+  content: "\f15c"; }
+
+.fa-wave-square::before {
+  content: "\f83e"; }
+
+.fa-ring::before {
+  content: "\f70b"; }
+
+.fa-building-un::before {
+  content: "\e4d9"; }
+
+.fa-dice-three::before {
+  content: "\f527"; }
+
+.fa-calendar-days::before {
+  content: "\f073"; }
+
+.fa-calendar-alt::before {
+  content: "\f073"; }
+
+.fa-anchor-circle-check::before {
+  content: "\e4aa"; }
+
+.fa-building-circle-arrow-right::before {
+  content: "\e4d1"; }
+
+.fa-volleyball::before {
+  content: "\f45f"; }
+
+.fa-volleyball-ball::before {
+  content: "\f45f"; }
+
+.fa-arrows-up-to-line::before {
+  content: "\e4c2"; }
+
+.fa-sort-down::before {
+  content: "\f0dd"; }
+
+.fa-sort-desc::before {
+  content: "\f0dd"; }
+
+.fa-circle-minus::before {
+  content: "\f056"; }
+
+.fa-minus-circle::before {
+  content: "\f056"; }
+
+.fa-door-open::before {
+  content: "\f52b"; }
+
+.fa-right-from-bracket::before {
+  content: "\f2f5"; }
+
+.fa-sign-out-alt::before {
+  content: "\f2f5"; }
+
+.fa-atom::before {
+  content: "\f5d2"; }
+
+.fa-soap::before {
+  content: "\e06e"; }
+
+.fa-icons::before {
+  content: "\f86d"; }
+
+.fa-heart-music-camera-bolt::before {
+  content: "\f86d"; }
+
+.fa-microphone-lines-slash::before {
+  content: "\f539"; }
+
+.fa-microphone-alt-slash::before {
+  content: "\f539"; }
+
+.fa-bridge-circle-check::before {
+  content: "\e4c9"; }
+
+.fa-pump-medical::before {
+  content: "\e06a"; }
+
+.fa-fingerprint::before {
+  content: "\f577"; }
+
+.fa-hand-point-right::before {
+  content: "\f0a4"; }
+
+.fa-magnifying-glass-location::before {
+  content: "\f689"; }
+
+.fa-search-location::before {
+  content: "\f689"; }
+
+.fa-forward-step::before {
+  content: "\f051"; }
+
+.fa-step-forward::before {
+  content: "\f051"; }
+
+.fa-face-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-flag-checkered::before {
+  content: "\f11e"; }
+
+.fa-football::before {
+  content: "\f44e"; }
+
+.fa-football-ball::before {
+  content: "\f44e"; }
+
+.fa-school-circle-exclamation::before {
+  content: "\e56c"; }
+
+.fa-crop::before {
+  content: "\f125"; }
+
+.fa-angles-down::before {
+  content: "\f103"; }
+
+.fa-angle-double-down::before {
+  content: "\f103"; }
+
+.fa-users-rectangle::before {
+  content: "\e594"; }
+
+.fa-people-roof::before {
+  content: "\e537"; }
+
+.fa-people-line::before {
+  content: "\e534"; }
+
+.fa-beer-mug-empty::before {
+  content: "\f0fc"; }
+
+.fa-beer::before {
+  content: "\f0fc"; }
+
+.fa-diagram-predecessor::before {
+  content: "\e477"; }
+
+.fa-arrow-up-long::before {
+  content: "\f176"; }
+
+.fa-long-arrow-up::before {
+  content: "\f176"; }
+
+.fa-fire-flame-simple::before {
+  content: "\f46a"; }
+
+.fa-burn::before {
+  content: "\f46a"; }
+
+.fa-person::before {
+  content: "\f183"; }
+
+.fa-male::before {
+  content: "\f183"; }
+
+.fa-laptop::before {
+  content: "\f109"; }
+
+.fa-file-csv::before {
+  content: "\f6dd"; }
+
+.fa-menorah::before {
+  content: "\f676"; }
+
+.fa-truck-plane::before {
+  content: "\e58f"; }
+
+.fa-record-vinyl::before {
+  content: "\f8d9"; }
+
+.fa-face-grin-stars::before {
+  content: "\f587"; }
+
+.fa-grin-stars::before {
+  content: "\f587"; }
+
+.fa-bong::before {
+  content: "\f55c"; }
+
+.fa-spaghetti-monster-flying::before {
+  content: "\f67b"; }
+
+.fa-pastafarianism::before {
+  content: "\f67b"; }
+
+.fa-arrow-down-up-across-line::before {
+  content: "\e4af"; }
+
+.fa-spoon::before {
+  content: "\f2e5"; }
+
+.fa-utensil-spoon::before {
+  content: "\f2e5"; }
+
+.fa-jar-wheat::before {
+  content: "\e517"; }
+
+.fa-envelopes-bulk::before {
+  content: "\f674"; }
+
+.fa-mail-bulk::before {
+  content: "\f674"; }
+
+.fa-file-circle-exclamation::before {
+  content: "\e4eb"; }
+
+.fa-circle-h::before {
+  content: "\f47e"; }
+
+.fa-hospital-symbol::before {
+  content: "\f47e"; }
+
+.fa-pager::before {
+  content: "\f815"; }
+
+.fa-address-book::before {
+  content: "\f2b9"; }
+
+.fa-contact-book::before {
+  content: "\f2b9"; }
+
+.fa-strikethrough::before {
+  content: "\f0cc"; }
+
+.fa-k::before {
+  content: "\4b"; }
+
+.fa-landmark-flag::before {
+  content: "\e51c"; }
+
+.fa-pencil::before {
+  content: "\f303"; }
+
+.fa-pencil-alt::before {
+  content: "\f303"; }
+
+.fa-backward::before {
+  content: "\f04a"; }
+
+.fa-caret-right::before {
+  content: "\f0da"; }
+
+.fa-comments::before {
+  content: "\f086"; }
+
+.fa-paste::before {
+  content: "\f0ea"; }
+
+.fa-file-clipboard::before {
+  content: "\f0ea"; }
+
+.fa-code-pull-request::before {
+  content: "\e13c"; }
+
+.fa-clipboard-list::before {
+  content: "\f46d"; }
+
+.fa-truck-ramp-box::before {
+  content: "\f4de"; }
+
+.fa-truck-loading::before {
+  content: "\f4de"; }
+
+.fa-user-check::before {
+  content: "\f4fc"; }
+
+.fa-vial-virus::before {
+  content: "\e597"; }
+
+.fa-sheet-plastic::before {
+  content: "\e571"; }
+
+.fa-blog::before {
+  content: "\f781"; }
+
+.fa-user-ninja::before {
+  content: "\f504"; }
+
+.fa-person-arrow-up-from-line::before {
+  content: "\e539"; }
+
+.fa-scroll-torah::before {
+  content: "\f6a0"; }
+
+.fa-torah::before {
+  content: "\f6a0"; }
+
+.fa-broom-ball::before {
+  content: "\f458"; }
+
+.fa-quidditch::before {
+  content: "\f458"; }
+
+.fa-quidditch-broom-ball::before {
+  content: "\f458"; }
+
+.fa-toggle-off::before {
+  content: "\f204"; }
+
+.fa-box-archive::before {
+  content: "\f187"; }
+
+.fa-archive::before {
+  content: "\f187"; }
+
+.fa-person-drowning::before {
+  content: "\e545"; }
+
+.fa-arrow-down-9-1::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-desc::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-down-alt::before {
+  content: "\f886"; }
+
+.fa-face-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-spray-can::before {
+  content: "\f5bd"; }
+
+.fa-truck-monster::before {
+  content: "\f63b"; }
+
+.fa-w::before {
+  content: "\57"; }
+
+.fa-earth-africa::before {
+  content: "\f57c"; }
+
+.fa-globe-africa::before {
+  content: "\f57c"; }
+
+.fa-rainbow::before {
+  content: "\f75b"; }
+
+.fa-circle-notch::before {
+  content: "\f1ce"; }
+
+.fa-tablet-screen-button::before {
+  content: "\f3fa"; }
+
+.fa-tablet-alt::before {
+  content: "\f3fa"; }
+
+.fa-paw::before {
+  content: "\f1b0"; }
+
+.fa-cloud::before {
+  content: "\f0c2"; }
+
+.fa-trowel-bricks::before {
+  content: "\e58a"; }
+
+.fa-face-flushed::before {
+  content: "\f579"; }
+
+.fa-flushed::before {
+  content: "\f579"; }
+
+.fa-hospital-user::before {
+  content: "\f80d"; }
+
+.fa-tent-arrow-left-right::before {
+  content: "\e57f"; }
+
+.fa-gavel::before {
+  content: "\f0e3"; }
+
+.fa-legal::before {
+  content: "\f0e3"; }
+
+.fa-binoculars::before {
+  content: "\f1e5"; }
+
+.fa-microphone-slash::before {
+  content: "\f131"; }
+
+.fa-box-tissue::before {
+  content: "\e05b"; }
+
+.fa-motorcycle::before {
+  content: "\f21c"; }
+
+.fa-bell-concierge::before {
+  content: "\f562"; }
+
+.fa-concierge-bell::before {
+  content: "\f562"; }
+
+.fa-pen-ruler::before {
+  content: "\f5ae"; }
+
+.fa-pencil-ruler::before {
+  content: "\f5ae"; }
+
+.fa-people-arrows::before {
+  content: "\e068"; }
+
+.fa-people-arrows-left-right::before {
+  content: "\e068"; }
+
+.fa-mars-and-venus-burst::before {
+  content: "\e523"; }
+
+.fa-square-caret-right::before {
+  content: "\f152"; }
+
+.fa-caret-square-right::before {
+  content: "\f152"; }
+
+.fa-scissors::before {
+  content: "\f0c4"; }
+
+.fa-cut::before {
+  content: "\f0c4"; }
+
+.fa-sun-plant-wilt::before {
+  content: "\e57a"; }
+
+.fa-toilets-portable::before {
+  content: "\e584"; }
+
+.fa-hockey-puck::before {
+  content: "\f453"; }
+
+.fa-table::before {
+  content: "\f0ce"; }
+
+.fa-magnifying-glass-arrow-right::before {
+  content: "\e521"; }
+
+.fa-tachograph-digital::before {
+  content: "\f566"; }
+
+.fa-digital-tachograph::before {
+  content: "\f566"; }
+
+.fa-users-slash::before {
+  content: "\e073"; }
+
+.fa-clover::before {
+  content: "\e139"; }
+
+.fa-reply::before {
+  content: "\f3e5"; }
+
+.fa-mail-reply::before {
+  content: "\f3e5"; }
+
+.fa-star-and-crescent::before {
+  content: "\f699"; }
+
+.fa-house-fire::before {
+  content: "\e50c"; }
+
+.fa-square-minus::before {
+  content: "\f146"; }
+
+.fa-minus-square::before {
+  content: "\f146"; }
+
+.fa-helicopter::before {
+  content: "\f533"; }
+
+.fa-compass::before {
+  content: "\f14e"; }
+
+.fa-square-caret-down::before {
+  content: "\f150"; }
+
+.fa-caret-square-down::before {
+  content: "\f150"; }
+
+.fa-file-circle-question::before {
+  content: "\e4ef"; }
+
+.fa-laptop-code::before {
+  content: "\f5fc"; }
+
+.fa-swatchbook::before {
+  content: "\f5c3"; }
+
+.fa-prescription-bottle::before {
+  content: "\f485"; }
+
+.fa-bars::before {
+  content: "\f0c9"; }
+
+.fa-navicon::before {
+  content: "\f0c9"; }
+
+.fa-people-group::before {
+  content: "\e533"; }
+
+.fa-hourglass-end::before {
+  content: "\f253"; }
+
+.fa-hourglass-3::before {
+  content: "\f253"; }
+
+.fa-heart-crack::before {
+  content: "\f7a9"; }
+
+.fa-heart-broken::before {
+  content: "\f7a9"; }
+
+.fa-square-up-right::before {
+  content: "\f360"; }
+
+.fa-external-link-square-alt::before {
+  content: "\f360"; }
+
+.fa-face-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-film::before {
+  content: "\f008"; }
+
+.fa-ruler-horizontal::before {
+  content: "\f547"; }
+
+.fa-people-robbery::before {
+  content: "\e536"; }
+
+.fa-lightbulb::before {
+  content: "\f0eb"; }
+
+.fa-caret-left::before {
+  content: "\f0d9"; }
+
+.fa-circle-exclamation::before {
+  content: "\f06a"; }
+
+.fa-exclamation-circle::before {
+  content: "\f06a"; }
+
+.fa-school-circle-xmark::before {
+  content: "\e56d"; }
+
+.fa-arrow-right-from-bracket::before {
+  content: "\f08b"; }
+
+.fa-sign-out::before {
+  content: "\f08b"; }
+
+.fa-circle-chevron-down::before {
+  content: "\f13a"; }
+
+.fa-chevron-circle-down::before {
+  content: "\f13a"; }
+
+.fa-unlock-keyhole::before {
+  content: "\f13e"; }
+
+.fa-unlock-alt::before {
+  content: "\f13e"; }
+
+.fa-cloud-showers-heavy::before {
+  content: "\f740"; }
+
+.fa-headphones-simple::before {
+  content: "\f58f"; }
+
+.fa-headphones-alt::before {
+  content: "\f58f"; }
+
+.fa-sitemap::before {
+  content: "\f0e8"; }
+
+.fa-circle-dollar-to-slot::before {
+  content: "\f4b9"; }
+
+.fa-donate::before {
+  content: "\f4b9"; }
+
+.fa-memory::before {
+  content: "\f538"; }
+
+.fa-road-spikes::before {
+  content: "\e568"; }
+
+.fa-fire-burner::before {
+  content: "\e4f1"; }
+
+.fa-flag::before {
+  content: "\f024"; }
+
+.fa-hanukiah::before {
+  content: "\f6e6"; }
+
+.fa-feather::before {
+  content: "\f52d"; }
+
+.fa-volume-low::before {
+  content: "\f027"; }
+
+.fa-volume-down::before {
+  content: "\f027"; }
+
+.fa-comment-slash::before {
+  content: "\f4b3"; }
+
+.fa-cloud-sun-rain::before {
+  content: "\f743"; }
+
+.fa-compress::before {
+  content: "\f066"; }
+
+.fa-wheat-awn::before {
+  content: "\e2cd"; }
+
+.fa-wheat-alt::before {
+  content: "\e2cd"; }
+
+.fa-ankh::before {
+  content: "\f644"; }
+
+.fa-hands-holding-child::before {
+  content: "\e4fa"; }
+
+.fa-asterisk::before {
+  content: "\2a"; }
+
+.fa-square-check::before {
+  content: "\f14a"; }
+
+.fa-check-square::before {
+  content: "\f14a"; }
+
+.fa-peseta-sign::before {
+  content: "\e221"; }
+
+.fa-heading::before {
+  content: "\f1dc"; }
+
+.fa-header::before {
+  content: "\f1dc"; }
+
+.fa-ghost::before {
+  content: "\f6e2"; }
+
+.fa-list::before {
+  content: "\f03a"; }
+
+.fa-list-squares::before {
+  content: "\f03a"; }
+
+.fa-square-phone-flip::before {
+  content: "\f87b"; }
+
+.fa-phone-square-alt::before {
+  content: "\f87b"; }
+
+.fa-cart-plus::before {
+  content: "\f217"; }
+
+.fa-gamepad::before {
+  content: "\f11b"; }
+
+.fa-circle-dot::before {
+  content: "\f192"; }
+
+.fa-dot-circle::before {
+  content: "\f192"; }
+
+.fa-face-dizzy::before {
+  content: "\f567"; }
+
+.fa-dizzy::before {
+  content: "\f567"; }
+
+.fa-egg::before {
+  content: "\f7fb"; }
+
+.fa-house-medical-circle-xmark::before {
+  content: "\e513"; }
+
+.fa-campground::before {
+  content: "\f6bb"; }
+
+.fa-folder-plus::before {
+  content: "\f65e"; }
+
+.fa-futbol::before {
+  content: "\f1e3"; }
+
+.fa-futbol-ball::before {
+  content: "\f1e3"; }
+
+.fa-soccer-ball::before {
+  content: "\f1e3"; }
+
+.fa-paintbrush::before {
+  content: "\f1fc"; }
+
+.fa-paint-brush::before {
+  content: "\f1fc"; }
+
+.fa-lock::before {
+  content: "\f023"; }
+
+.fa-gas-pump::before {
+  content: "\f52f"; }
+
+.fa-hot-tub-person::before {
+  content: "\f593"; }
+
+.fa-hot-tub::before {
+  content: "\f593"; }
+
+.fa-map-location::before {
+  content: "\f59f"; }
+
+.fa-map-marked::before {
+  content: "\f59f"; }
+
+.fa-house-flood-water::before {
+  content: "\e50e"; }
+
+.fa-tree::before {
+  content: "\f1bb"; }
+
+.fa-bridge-lock::before {
+  content: "\e4cc"; }
+
+.fa-sack-dollar::before {
+  content: "\f81d"; }
+
+.fa-pen-to-square::before {
+  content: "\f044"; }
+
+.fa-edit::before {
+  content: "\f044"; }
+
+.fa-car-side::before {
+  content: "\f5e4"; }
+
+.fa-share-nodes::before {
+  content: "\f1e0"; }
+
+.fa-share-alt::before {
+  content: "\f1e0"; }
+
+.fa-heart-circle-minus::before {
+  content: "\e4ff"; }
+
+.fa-hourglass-half::before {
+  content: "\f252"; }
+
+.fa-hourglass-2::before {
+  content: "\f252"; }
+
+.fa-microscope::before {
+  content: "\f610"; }
+
+.fa-sink::before {
+  content: "\e06d"; }
+
+.fa-bag-shopping::before {
+  content: "\f290"; }
+
+.fa-shopping-bag::before {
+  content: "\f290"; }
+
+.fa-arrow-down-z-a::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-desc::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-down-alt::before {
+  content: "\f881"; }
+
+.fa-mitten::before {
+  content: "\f7b5"; }
+
+.fa-person-rays::before {
+  content: "\e54d"; }
+
+.fa-users::before {
+  content: "\f0c0"; }
+
+.fa-eye-slash::before {
+  content: "\f070"; }
+
+.fa-flask-vial::before {
+  content: "\e4f3"; }
+
+.fa-hand::before {
+  content: "\f256"; }
+
+.fa-hand-paper::before {
+  content: "\f256"; }
+
+.fa-om::before {
+  content: "\f679"; }
+
+.fa-worm::before {
+  content: "\e599"; }
+
+.fa-house-circle-xmark::before {
+  content: "\e50b"; }
+
+.fa-plug::before {
+  content: "\f1e6"; }
+
+.fa-chevron-up::before {
+  content: "\f077"; }
+
+.fa-hand-spock::before {
+  content: "\f259"; }
+
+.fa-stopwatch::before {
+  content: "\f2f2"; }
+
+.fa-face-kiss::before {
+  content: "\f596"; }
+
+.fa-kiss::before {
+  content: "\f596"; }
+
+.fa-bridge-circle-xmark::before {
+  content: "\e4cb"; }
+
+.fa-face-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-chess-bishop::before {
+  content: "\f43a"; }
+
+.fa-face-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-ear-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deafness::before {
+  content: "\f2a4"; }
+
+.fa-hard-of-hearing::before {
+  content: "\f2a4"; }
+
+.fa-road-circle-check::before {
+  content: "\e564"; }
+
+.fa-dice-five::before {
+  content: "\f523"; }
+
+.fa-square-rss::before {
+  content: "\f143"; }
+
+.fa-rss-square::before {
+  content: "\f143"; }
+
+.fa-land-mine-on::before {
+  content: "\e51b"; }
+
+.fa-i-cursor::before {
+  content: "\f246"; }
+
+.fa-stamp::before {
+  content: "\f5bf"; }
+
+.fa-stairs::before {
+  content: "\e289"; }
+
+.fa-i::before {
+  content: "\49"; }
+
+.fa-hryvnia-sign::before {
+  content: "\f6f2"; }
+
+.fa-hryvnia::before {
+  content: "\f6f2"; }
+
+.fa-pills::before {
+  content: "\f484"; }
+
+.fa-face-grin-wide::before {
+  content: "\f581"; }
+
+.fa-grin-alt::before {
+  content: "\f581"; }
+
+.fa-tooth::before {
+  content: "\f5c9"; }
+
+.fa-v::before {
+  content: "\56"; }
+
+.fa-bangladeshi-taka-sign::before {
+  content: "\e2e6"; }
+
+.fa-bicycle::before {
+  content: "\f206"; }
+
+.fa-staff-snake::before {
+  content: "\e579"; }
+
+.fa-rod-asclepius::before {
+  content: "\e579"; }
+
+.fa-rod-snake::before {
+  content: "\e579"; }
+
+.fa-staff-aesculapius::before {
+  content: "\e579"; }
+
+.fa-head-side-cough-slash::before {
+  content: "\e062"; }
+
+.fa-truck-medical::before {
+  content: "\f0f9"; }
+
+.fa-ambulance::before {
+  content: "\f0f9"; }
+
+.fa-wheat-awn-circle-exclamation::before {
+  content: "\e598"; }
+
+.fa-snowman::before {
+  content: "\f7d0"; }
+
+.fa-mortar-pestle::before {
+  content: "\f5a7"; }
+
+.fa-road-barrier::before {
+  content: "\e562"; }
+
+.fa-school::before {
+  content: "\f549"; }
+
+.fa-igloo::before {
+  content: "\f7ae"; }
+
+.fa-joint::before {
+  content: "\f595"; }
+
+.fa-angle-right::before {
+  content: "\f105"; }
+
+.fa-horse::before {
+  content: "\f6f0"; }
+
+.fa-q::before {
+  content: "\51"; }
+
+.fa-g::before {
+  content: "\47"; }
+
+.fa-notes-medical::before {
+  content: "\f481"; }
+
+.fa-temperature-half::before {
+  content: "\f2c9"; }
+
+.fa-temperature-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-half::before {
+  content: "\f2c9"; }
+
+.fa-dong-sign::before {
+  content: "\e169"; }
+
+.fa-capsules::before {
+  content: "\f46b"; }
+
+.fa-poo-storm::before {
+  content: "\f75a"; }
+
+.fa-poo-bolt::before {
+  content: "\f75a"; }
+
+.fa-face-frown-open::before {
+  content: "\f57a"; }
+
+.fa-frown-open::before {
+  content: "\f57a"; }
+
+.fa-hand-point-up::before {
+  content: "\f0a6"; }
+
+.fa-money-bill::before {
+  content: "\f0d6"; }
+
+.fa-bookmark::before {
+  content: "\f02e"; }
+
+.fa-align-justify::before {
+  content: "\f039"; }
+
+.fa-umbrella-beach::before {
+  content: "\f5ca"; }
+
+.fa-helmet-un::before {
+  content: "\e503"; }
+
+.fa-bullseye::before {
+  content: "\f140"; }
+
+.fa-bacon::before {
+  content: "\f7e5"; }
+
+.fa-hand-point-down::before {
+  content: "\f0a7"; }
+
+.fa-arrow-up-from-bracket::before {
+  content: "\e09a"; }
+
+.fa-folder::before {
+  content: "\f07b"; }
+
+.fa-folder-blank::before {
+  content: "\f07b"; }
+
+.fa-file-waveform::before {
+  content: "\f478"; }
+
+.fa-file-medical-alt::before {
+  content: "\f478"; }
+
+.fa-radiation::before {
+  content: "\f7b9"; }
+
+.fa-chart-simple::before {
+  content: "\e473"; }
+
+.fa-mars-stroke::before {
+  content: "\f229"; }
+
+.fa-vial::before {
+  content: "\f492"; }
+
+.fa-gauge::before {
+  content: "\f624"; }
+
+.fa-dashboard::before {
+  content: "\f624"; }
+
+.fa-gauge-med::before {
+  content: "\f624"; }
+
+.fa-tachometer-alt-average::before {
+  content: "\f624"; }
+
+.fa-wand-magic-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-magic-wand-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-e::before {
+  content: "\45"; }
+
+.fa-pen-clip::before {
+  content: "\f305"; }
+
+.fa-pen-alt::before {
+  content: "\f305"; }
+
+.fa-bridge-circle-exclamation::before {
+  content: "\e4ca"; }
+
+.fa-user::before {
+  content: "\f007"; }
+
+.fa-school-circle-check::before {
+  content: "\e56b"; }
+
+.fa-dumpster::before {
+  content: "\f793"; }
+
+.fa-van-shuttle::before {
+  content: "\f5b6"; }
+
+.fa-shuttle-van::before {
+  content: "\f5b6"; }
+
+.fa-building-user::before {
+  content: "\e4da"; }
+
+.fa-square-caret-left::before {
+  content: "\f191"; }
+
+.fa-caret-square-left::before {
+  content: "\f191"; }
+
+.fa-highlighter::before {
+  content: "\f591"; }
+
+.fa-key::before {
+  content: "\f084"; }
+
+.fa-bullhorn::before {
+  content: "\f0a1"; }
+
+.fa-globe::before {
+  content: "\f0ac"; }
+
+.fa-synagogue::before {
+  content: "\f69b"; }
+
+.fa-person-half-dress::before {
+  content: "\e548"; }
+
+.fa-road-bridge::before {
+  content: "\e563"; }
+
+.fa-location-arrow::before {
+  content: "\f124"; }
+
+.fa-c::before {
+  content: "\43"; }
+
+.fa-tablet-button::before {
+  content: "\f10a"; }
+
+.fa-building-lock::before {
+  content: "\e4d6"; }
+
+.fa-pizza-slice::before {
+  content: "\f818"; }
+
+.fa-money-bill-wave::before {
+  content: "\f53a"; }
+
+.fa-chart-area::before {
+  content: "\f1fe"; }
+
+.fa-area-chart::before {
+  content: "\f1fe"; }
+
+.fa-house-flag::before {
+  content: "\e50d"; }
+
+.fa-person-circle-minus::before {
+  content: "\e540"; }
+
+.fa-ban::before {
+  content: "\f05e"; }
+
+.fa-cancel::before {
+  content: "\f05e"; }
+
+.fa-camera-rotate::before {
+  content: "\e0d8"; }
+
+.fa-spray-can-sparkles::before {
+  content: "\f5d0"; }
+
+.fa-air-freshener::before {
+  content: "\f5d0"; }
+
+.fa-star::before {
+  content: "\f005"; }
+
+.fa-repeat::before {
+  content: "\f363"; }
+
+.fa-cross::before {
+  content: "\f654"; }
+
+.fa-box::before {
+  content: "\f466"; }
+
+.fa-venus-mars::before {
+  content: "\f228"; }
+
+.fa-arrow-pointer::before {
+  content: "\f245"; }
+
+.fa-mouse-pointer::before {
+  content: "\f245"; }
+
+.fa-maximize::before {
+  content: "\f31e"; }
+
+.fa-expand-arrows-alt::before {
+  content: "\f31e"; }
+
+.fa-charging-station::before {
+  content: "\f5e7"; }
+
+.fa-shapes::before {
+  content: "\f61f"; }
+
+.fa-triangle-circle-square::before {
+  content: "\f61f"; }
+
+.fa-shuffle::before {
+  content: "\f074"; }
+
+.fa-random::before {
+  content: "\f074"; }
+
+.fa-person-running::before {
+  content: "\f70c"; }
+
+.fa-running::before {
+  content: "\f70c"; }
+
+.fa-mobile-retro::before {
+  content: "\e527"; }
+
+.fa-grip-lines-vertical::before {
+  content: "\f7a5"; }
+
+.fa-spider::before {
+  content: "\f717"; }
+
+.fa-hands-bound::before {
+  content: "\e4f9"; }
+
+.fa-file-invoice-dollar::before {
+  content: "\f571"; }
+
+.fa-plane-circle-exclamation::before {
+  content: "\e556"; }
+
+.fa-x-ray::before {
+  content: "\f497"; }
+
+.fa-spell-check::before {
+  content: "\f891"; }
+
+.fa-slash::before {
+  content: "\f715"; }
+
+.fa-computer-mouse::before {
+  content: "\f8cc"; }
+
+.fa-mouse::before {
+  content: "\f8cc"; }
+
+.fa-arrow-right-to-bracket::before {
+  content: "\f090"; }
+
+.fa-sign-in::before {
+  content: "\f090"; }
+
+.fa-shop-slash::before {
+  content: "\e070"; }
+
+.fa-store-alt-slash::before {
+  content: "\e070"; }
+
+.fa-server::before {
+  content: "\f233"; }
+
+.fa-virus-covid-slash::before {
+  content: "\e4a9"; }
+
+.fa-shop-lock::before {
+  content: "\e4a5"; }
+
+.fa-hourglass-start::before {
+  content: "\f251"; }
+
+.fa-hourglass-1::before {
+  content: "\f251"; }
+
+.fa-blender-phone::before {
+  content: "\f6b6"; }
+
+.fa-building-wheat::before {
+  content: "\e4db"; }
+
+.fa-person-breastfeeding::before {
+  content: "\e53a"; }
+
+.fa-right-to-bracket::before {
+  content: "\f2f6"; }
+
+.fa-sign-in-alt::before {
+  content: "\f2f6"; }
+
+.fa-venus::before {
+  content: "\f221"; }
+
+.fa-passport::before {
+  content: "\f5ab"; }
+
+.fa-heart-pulse::before {
+  content: "\f21e"; }
+
+.fa-heartbeat::before {
+  content: "\f21e"; }
+
+.fa-people-carry-box::before {
+  content: "\f4ce"; }
+
+.fa-people-carry::before {
+  content: "\f4ce"; }
+
+.fa-temperature-high::before {
+  content: "\f769"; }
+
+.fa-microchip::before {
+  content: "\f2db"; }
+
+.fa-crown::before {
+  content: "\f521"; }
+
+.fa-weight-hanging::before {
+  content: "\f5cd"; }
+
+.fa-xmarks-lines::before {
+  content: "\e59a"; }
+
+.fa-file-prescription::before {
+  content: "\f572"; }
+
+.fa-weight-scale::before {
+  content: "\f496"; }
+
+.fa-weight::before {
+  content: "\f496"; }
+
+.fa-user-group::before {
+  content: "\f500"; }
+
+.fa-user-friends::before {
+  content: "\f500"; }
+
+.fa-arrow-up-a-z::before {
+  content: "\f15e"; }
+
+.fa-sort-alpha-up::before {
+  content: "\f15e"; }
+
+.fa-chess-knight::before {
+  content: "\f441"; }
+
+.fa-face-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-wheelchair::before {
+  content: "\f193"; }
+
+.fa-circle-arrow-up::before {
+  content: "\f0aa"; }
+
+.fa-arrow-circle-up::before {
+  content: "\f0aa"; }
+
+.fa-toggle-on::before {
+  content: "\f205"; }
+
+.fa-person-walking::before {
+  content: "\f554"; }
+
+.fa-walking::before {
+  content: "\f554"; }
+
+.fa-l::before {
+  content: "\4c"; }
+
+.fa-fire::before {
+  content: "\f06d"; }
+
+.fa-bed-pulse::before {
+  content: "\f487"; }
+
+.fa-procedures::before {
+  content: "\f487"; }
+
+.fa-shuttle-space::before {
+  content: "\f197"; }
+
+.fa-space-shuttle::before {
+  content: "\f197"; }
+
+.fa-face-laugh::before {
+  content: "\f599"; }
+
+.fa-laugh::before {
+  content: "\f599"; }
+
+.fa-folder-open::before {
+  content: "\f07c"; }
+
+.fa-heart-circle-plus::before {
+  content: "\e500"; }
+
+.fa-code-fork::before {
+  content: "\e13b"; }
+
+.fa-city::before {
+  content: "\f64f"; }
+
+.fa-microphone-lines::before {
+  content: "\f3c9"; }
+
+.fa-microphone-alt::before {
+  content: "\f3c9"; }
+
+.fa-pepper-hot::before {
+  content: "\f816"; }
+
+.fa-unlock::before {
+  content: "\f09c"; }
+
+.fa-colon-sign::before {
+  content: "\e140"; }
+
+.fa-headset::before {
+  content: "\f590"; }
+
+.fa-store-slash::before {
+  content: "\e071"; }
+
+.fa-road-circle-xmark::before {
+  content: "\e566"; }
+
+.fa-user-minus::before {
+  content: "\f503"; }
+
+.fa-mars-stroke-up::before {
+  content: "\f22a"; }
+
+.fa-mars-stroke-v::before {
+  content: "\f22a"; }
+
+.fa-champagne-glasses::before {
+  content: "\f79f"; }
+
+.fa-glass-cheers::before {
+  content: "\f79f"; }
+
+.fa-clipboard::before {
+  content: "\f328"; }
+
+.fa-house-circle-exclamation::before {
+  content: "\e50a"; }
+
+.fa-file-arrow-up::before {
+  content: "\f574"; }
+
+.fa-file-upload::before {
+  content: "\f574"; }
+
+.fa-wifi::before {
+  content: "\f1eb"; }
+
+.fa-wifi-3::before {
+  content: "\f1eb"; }
+
+.fa-wifi-strong::before {
+  content: "\f1eb"; }
+
+.fa-bath::before {
+  content: "\f2cd"; }
+
+.fa-bathtub::before {
+  content: "\f2cd"; }
+
+.fa-underline::before {
+  content: "\f0cd"; }
+
+.fa-user-pen::before {
+  content: "\f4ff"; }
+
+.fa-user-edit::before {
+  content: "\f4ff"; }
+
+.fa-signature::before {
+  content: "\f5b7"; }
+
+.fa-stroopwafel::before {
+  content: "\f551"; }
+
+.fa-bold::before {
+  content: "\f032"; }
+
+.fa-anchor-lock::before {
+  content: "\e4ad"; }
+
+.fa-building-ngo::before {
+  content: "\e4d7"; }
+
+.fa-manat-sign::before {
+  content: "\e1d5"; }
+
+.fa-not-equal::before {
+  content: "\f53e"; }
+
+.fa-border-top-left::before {
+  content: "\f853"; }
+
+.fa-border-style::before {
+  content: "\f853"; }
+
+.fa-map-location-dot::before {
+  content: "\f5a0"; }
+
+.fa-map-marked-alt::before {
+  content: "\f5a0"; }
+
+.fa-jedi::before {
+  content: "\f669"; }
+
+.fa-square-poll-vertical::before {
+  content: "\f681"; }
+
+.fa-poll::before {
+  content: "\f681"; }
+
+.fa-mug-hot::before {
+  content: "\f7b6"; }
+
+.fa-car-battery::before {
+  content: "\f5df"; }
+
+.fa-battery-car::before {
+  content: "\f5df"; }
+
+.fa-gift::before {
+  content: "\f06b"; }
+
+.fa-dice-two::before {
+  content: "\f528"; }
+
+.fa-chess-queen::before {
+  content: "\f445"; }
+
+.fa-glasses::before {
+  content: "\f530"; }
+
+.fa-chess-board::before {
+  content: "\f43c"; }
+
+.fa-building-circle-check::before {
+  content: "\e4d2"; }
+
+.fa-person-chalkboard::before {
+  content: "\e53d"; }
+
+.fa-mars-stroke-right::before {
+  content: "\f22b"; }
+
+.fa-mars-stroke-h::before {
+  content: "\f22b"; }
+
+.fa-hand-back-fist::before {
+  content: "\f255"; }
+
+.fa-hand-rock::before {
+  content: "\f255"; }
+
+.fa-square-caret-up::before {
+  content: "\f151"; }
+
+.fa-caret-square-up::before {
+  content: "\f151"; }
+
+.fa-cloud-showers-water::before {
+  content: "\e4e4"; }
+
+.fa-chart-bar::before {
+  content: "\f080"; }
+
+.fa-bar-chart::before {
+  content: "\f080"; }
+
+.fa-hands-bubbles::before {
+  content: "\e05e"; }
+
+.fa-hands-wash::before {
+  content: "\e05e"; }
+
+.fa-less-than-equal::before {
+  content: "\f537"; }
+
+.fa-train::before {
+  content: "\f238"; }
+
+.fa-eye-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-crow::before {
+  content: "\f520"; }
+
+.fa-sailboat::before {
+  content: "\e445"; }
+
+.fa-window-restore::before {
+  content: "\f2d2"; }
+
+.fa-square-plus::before {
+  content: "\f0fe"; }
+
+.fa-plus-square::before {
+  content: "\f0fe"; }
+
+.fa-torii-gate::before {
+  content: "\f6a1"; }
+
+.fa-frog::before {
+  content: "\f52e"; }
+
+.fa-bucket::before {
+  content: "\e4cf"; }
+
+.fa-image::before {
+  content: "\f03e"; }
+
+.fa-microphone::before {
+  content: "\f130"; }
+
+.fa-cow::before {
+  content: "\f6c8"; }
+
+.fa-caret-up::before {
+  content: "\f0d8"; }
+
+.fa-screwdriver::before {
+  content: "\f54a"; }
+
+.fa-folder-closed::before {
+  content: "\e185"; }
+
+.fa-house-tsunami::before {
+  content: "\e515"; }
+
+.fa-square-nfi::before {
+  content: "\e576"; }
+
+.fa-arrow-up-from-ground-water::before {
+  content: "\e4b5"; }
+
+.fa-martini-glass::before {
+  content: "\f57b"; }
+
+.fa-glass-martini-alt::before {
+  content: "\f57b"; }
+
+.fa-rotate-left::before {
+  content: "\f2ea"; }
+
+.fa-rotate-back::before {
+  content: "\f2ea"; }
+
+.fa-rotate-backward::before {
+  content: "\f2ea"; }
+
+.fa-undo-alt::before {
+  content: "\f2ea"; }
+
+.fa-table-columns::before {
+  content: "\f0db"; }
+
+.fa-columns::before {
+  content: "\f0db"; }
+
+.fa-lemon::before {
+  content: "\f094"; }
+
+.fa-head-side-mask::before {
+  content: "\e063"; }
+
+.fa-handshake::before {
+  content: "\f2b5"; }
+
+.fa-gem::before {
+  content: "\f3a5"; }
+
+.fa-dolly::before {
+  content: "\f472"; }
+
+.fa-dolly-box::before {
+  content: "\f472"; }
+
+.fa-smoking::before {
+  content: "\f48d"; }
+
+.fa-minimize::before {
+  content: "\f78c"; }
+
+.fa-compress-arrows-alt::before {
+  content: "\f78c"; }
+
+.fa-monument::before {
+  content: "\f5a6"; }
+
+.fa-snowplow::before {
+  content: "\f7d2"; }
+
+.fa-angles-right::before {
+  content: "\f101"; }
+
+.fa-angle-double-right::before {
+  content: "\f101"; }
+
+.fa-cannabis::before {
+  content: "\f55f"; }
+
+.fa-circle-play::before {
+  content: "\f144"; }
+
+.fa-play-circle::before {
+  content: "\f144"; }
+
+.fa-tablets::before {
+  content: "\f490"; }
+
+.fa-ethernet::before {
+  content: "\f796"; }
+
+.fa-euro-sign::before {
+  content: "\f153"; }
+
+.fa-eur::before {
+  content: "\f153"; }
+
+.fa-euro::before {
+  content: "\f153"; }
+
+.fa-chair::before {
+  content: "\f6c0"; }
+
+.fa-circle-check::before {
+  content: "\f058"; }
+
+.fa-check-circle::before {
+  content: "\f058"; }
+
+.fa-circle-stop::before {
+  content: "\f28d"; }
+
+.fa-stop-circle::before {
+  content: "\f28d"; }
+
+.fa-compass-drafting::before {
+  content: "\f568"; }
+
+.fa-drafting-compass::before {
+  content: "\f568"; }
+
+.fa-plate-wheat::before {
+  content: "\e55a"; }
+
+.fa-icicles::before {
+  content: "\f7ad"; }
+
+.fa-person-shelter::before {
+  content: "\e54f"; }
+
+.fa-neuter::before {
+  content: "\f22c"; }
+
+.fa-id-badge::before {
+  content: "\f2c1"; }
+
+.fa-marker::before {
+  content: "\f5a1"; }
+
+.fa-face-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-helicopter-symbol::before {
+  content: "\e502"; }
+
+.fa-universal-access::before {
+  content: "\f29a"; }
+
+.fa-circle-chevron-up::before {
+  content: "\f139"; }
+
+.fa-chevron-circle-up::before {
+  content: "\f139"; }
+
+.fa-lari-sign::before {
+  content: "\e1c8"; }
+
+.fa-volcano::before {
+  content: "\f770"; }
+
+.fa-person-walking-dashed-line-arrow-right::before {
+  content: "\e553"; }
+
+.fa-sterling-sign::before {
+  content: "\f154"; }
+
+.fa-gbp::before {
+  content: "\f154"; }
+
+.fa-pound-sign::before {
+  content: "\f154"; }
+
+.fa-viruses::before {
+  content: "\e076"; }
+
+.fa-square-person-confined::before {
+  content: "\e577"; }
+
+.fa-user-tie::before {
+  content: "\f508"; }
+
+.fa-arrow-down-long::before {
+  content: "\f175"; }
+
+.fa-long-arrow-down::before {
+  content: "\f175"; }
+
+.fa-tent-arrow-down-to-line::before {
+  content: "\e57e"; }
+
+.fa-certificate::before {
+  content: "\f0a3"; }
+
+.fa-reply-all::before {
+  content: "\f122"; }
+
+.fa-mail-reply-all::before {
+  content: "\f122"; }
+
+.fa-suitcase::before {
+  content: "\f0f2"; }
+
+.fa-person-skating::before {
+  content: "\f7c5"; }
+
+.fa-skating::before {
+  content: "\f7c5"; }
+
+.fa-filter-circle-dollar::before {
+  content: "\f662"; }
+
+.fa-funnel-dollar::before {
+  content: "\f662"; }
+
+.fa-camera-retro::before {
+  content: "\f083"; }
+
+.fa-circle-arrow-down::before {
+  content: "\f0ab"; }
+
+.fa-arrow-circle-down::before {
+  content: "\f0ab"; }
+
+.fa-file-import::before {
+  content: "\f56f"; }
+
+.fa-arrow-right-to-file::before {
+  content: "\f56f"; }
+
+.fa-square-arrow-up-right::before {
+  content: "\f14c"; }
+
+.fa-external-link-square::before {
+  content: "\f14c"; }
+
+.fa-box-open::before {
+  content: "\f49e"; }
+
+.fa-scroll::before {
+  content: "\f70e"; }
+
+.fa-spa::before {
+  content: "\f5bb"; }
+
+.fa-location-pin-lock::before {
+  content: "\e51f"; }
+
+.fa-pause::before {
+  content: "\f04c"; }
+
+.fa-hill-avalanche::before {
+  content: "\e507"; }
+
+.fa-temperature-empty::before {
+  content: "\f2cb"; }
+
+.fa-temperature-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-empty::before {
+  content: "\f2cb"; }
+
+.fa-bomb::before {
+  content: "\f1e2"; }
+
+.fa-registered::before {
+  content: "\f25d"; }
+
+.fa-address-card::before {
+  content: "\f2bb"; }
+
+.fa-contact-card::before {
+  content: "\f2bb"; }
+
+.fa-vcard::before {
+  content: "\f2bb"; }
+
+.fa-scale-unbalanced-flip::before {
+  content: "\f516"; }
+
+.fa-balance-scale-right::before {
+  content: "\f516"; }
+
+.fa-subscript::before {
+  content: "\f12c"; }
+
+.fa-diamond-turn-right::before {
+  content: "\f5eb"; }
+
+.fa-directions::before {
+  content: "\f5eb"; }
+
+.fa-burst::before {
+  content: "\e4dc"; }
+
+.fa-house-laptop::before {
+  content: "\e066"; }
+
+.fa-laptop-house::before {
+  content: "\e066"; }
+
+.fa-face-tired::before {
+  content: "\f5c8"; }
+
+.fa-tired::before {
+  content: "\f5c8"; }
+
+.fa-money-bills::before {
+  content: "\e1f3"; }
+
+.fa-smog::before {
+  content: "\f75f"; }
+
+.fa-crutch::before {
+  content: "\f7f7"; }
+
+.fa-cloud-arrow-up::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload-alt::before {
+  content: "\f0ee"; }
+
+.fa-palette::before {
+  content: "\f53f"; }
+
+.fa-arrows-turn-right::before {
+  content: "\e4c0"; }
+
+.fa-vest::before {
+  content: "\e085"; }
+
+.fa-ferry::before {
+  content: "\e4ea"; }
+
+.fa-arrows-down-to-people::before {
+  content: "\e4b9"; }
+
+.fa-seedling::before {
+  content: "\f4d8"; }
+
+.fa-sprout::before {
+  content: "\f4d8"; }
+
+.fa-left-right::before {
+  content: "\f337"; }
+
+.fa-arrows-alt-h::before {
+  content: "\f337"; }
+
+.fa-boxes-packing::before {
+  content: "\e4c7"; }
+
+.fa-circle-arrow-left::before {
+  content: "\f0a8"; }
+
+.fa-arrow-circle-left::before {
+  content: "\f0a8"; }
+
+.fa-group-arrows-rotate::before {
+  content: "\e4f6"; }
+
+.fa-bowl-food::before {
+  content: "\e4c6"; }
+
+.fa-candy-cane::before {
+  content: "\f786"; }
+
+.fa-arrow-down-wide-short::before {
+  content: "\f160"; }
+
+.fa-sort-amount-asc::before {
+  content: "\f160"; }
+
+.fa-sort-amount-down::before {
+  content: "\f160"; }
+
+.fa-cloud-bolt::before {
+  content: "\f76c"; }
+
+.fa-thunderstorm::before {
+  content: "\f76c"; }
+
+.fa-text-slash::before {
+  content: "\f87d"; }
+
+.fa-remove-format::before {
+  content: "\f87d"; }
+
+.fa-face-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-file-word::before {
+  content: "\f1c2"; }
+
+.fa-file-powerpoint::before {
+  content: "\f1c4"; }
+
+.fa-arrows-left-right::before {
+  content: "\f07e"; }
+
+.fa-arrows-h::before {
+  content: "\f07e"; }
+
+.fa-house-lock::before {
+  content: "\e510"; }
+
+.fa-cloud-arrow-down::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download-alt::before {
+  content: "\f0ed"; }
+
+.fa-children::before {
+  content: "\e4e1"; }
+
+.fa-chalkboard::before {
+  content: "\f51b"; }
+
+.fa-blackboard::before {
+  content: "\f51b"; }
+
+.fa-user-large-slash::before {
+  content: "\f4fa"; }
+
+.fa-user-alt-slash::before {
+  content: "\f4fa"; }
+
+.fa-envelope-open::before {
+  content: "\f2b6"; }
+
+.fa-handshake-simple-slash::before {
+  content: "\e05f"; }
+
+.fa-handshake-alt-slash::before {
+  content: "\e05f"; }
+
+.fa-mattress-pillow::before {
+  content: "\e525"; }
+
+.fa-guarani-sign::before {
+  content: "\e19a"; }
+
+.fa-arrows-rotate::before {
+  content: "\f021"; }
+
+.fa-refresh::before {
+  content: "\f021"; }
+
+.fa-sync::before {
+  content: "\f021"; }
+
+.fa-fire-extinguisher::before {
+  content: "\f134"; }
+
+.fa-cruzeiro-sign::before {
+  content: "\e152"; }
+
+.fa-greater-than-equal::before {
+  content: "\f532"; }
+
+.fa-shield-halved::before {
+  content: "\f3ed"; }
+
+.fa-shield-alt::before {
+  content: "\f3ed"; }
+
+.fa-book-atlas::before {
+  content: "\f558"; }
+
+.fa-atlas::before {
+  content: "\f558"; }
+
+.fa-virus::before {
+  content: "\e074"; }
+
+.fa-envelope-circle-check::before {
+  content: "\e4e8"; }
+
+.fa-layer-group::before {
+  content: "\f5fd"; }
+
+.fa-arrows-to-dot::before {
+  content: "\e4be"; }
+
+.fa-archway::before {
+  content: "\f557"; }
+
+.fa-heart-circle-check::before {
+  content: "\e4fd"; }
+
+.fa-house-chimney-crack::before {
+  content: "\f6f1"; }
+
+.fa-house-damage::before {
+  content: "\f6f1"; }
+
+.fa-file-zipper::before {
+  content: "\f1c6"; }
+
+.fa-file-archive::before {
+  content: "\f1c6"; }
+
+.fa-square::before {
+  content: "\f0c8"; }
+
+.fa-martini-glass-empty::before {
+  content: "\f000"; }
+
+.fa-glass-martini::before {
+  content: "\f000"; }
+
+.fa-couch::before {
+  content: "\f4b8"; }
+
+.fa-cedi-sign::before {
+  content: "\e0df"; }
+
+.fa-italic::before {
+  content: "\f033"; }
+
+.fa-church::before {
+  content: "\f51d"; }
+
+.fa-comments-dollar::before {
+  content: "\f653"; }
+
+.fa-democrat::before {
+  content: "\f747"; }
+
+.fa-z::before {
+  content: "\5a"; }
+
+.fa-person-skiing::before {
+  content: "\f7c9"; }
+
+.fa-skiing::before {
+  content: "\f7c9"; }
+
+.fa-road-lock::before {
+  content: "\e567"; }
+
+.fa-a::before {
+  content: "\41"; }
+
+.fa-temperature-arrow-down::before {
+  content: "\e03f"; }
+
+.fa-temperature-down::before {
+  content: "\e03f"; }
+
+.fa-feather-pointed::before {
+  content: "\f56b"; }
+
+.fa-feather-alt::before {
+  content: "\f56b"; }
+
+.fa-p::before {
+  content: "\50"; }
+
+.fa-snowflake::before {
+  content: "\f2dc"; }
+
+.fa-newspaper::before {
+  content: "\f1ea"; }
+
+.fa-rectangle-ad::before {
+  content: "\f641"; }
+
+.fa-ad::before {
+  content: "\f641"; }
+
+.fa-circle-arrow-right::before {
+  content: "\f0a9"; }
+
+.fa-arrow-circle-right::before {
+  content: "\f0a9"; }
+
+.fa-filter-circle-xmark::before {
+  content: "\e17b"; }
+
+.fa-locust::before {
+  content: "\e520"; }
+
+.fa-sort::before {
+  content: "\f0dc"; }
+
+.fa-unsorted::before {
+  content: "\f0dc"; }
+
+.fa-list-ol::before {
+  content: "\f0cb"; }
+
+.fa-list-1-2::before {
+  content: "\f0cb"; }
+
+.fa-list-numeric::before {
+  content: "\f0cb"; }
+
+.fa-person-dress-burst::before {
+  content: "\e544"; }
+
+.fa-money-check-dollar::before {
+  content: "\f53d"; }
+
+.fa-money-check-alt::before {
+  content: "\f53d"; }
+
+.fa-vector-square::before {
+  content: "\f5cb"; }
+
+.fa-bread-slice::before {
+  content: "\f7ec"; }
+
+.fa-language::before {
+  content: "\f1ab"; }
+
+.fa-face-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-filter::before {
+  content: "\f0b0"; }
+
+.fa-question::before {
+  content: "\3f"; }
+
+.fa-file-signature::before {
+  content: "\f573"; }
+
+.fa-up-down-left-right::before {
+  content: "\f0b2"; }
+
+.fa-arrows-alt::before {
+  content: "\f0b2"; }
+
+.fa-house-chimney-user::before {
+  content: "\e065"; }
+
+.fa-hand-holding-heart::before {
+  content: "\f4be"; }
+
+.fa-puzzle-piece::before {
+  content: "\f12e"; }
+
+.fa-money-check::before {
+  content: "\f53c"; }
+
+.fa-star-half-stroke::before {
+  content: "\f5c0"; }
+
+.fa-star-half-alt::before {
+  content: "\f5c0"; }
+
+.fa-code::before {
+  content: "\f121"; }
+
+.fa-whiskey-glass::before {
+  content: "\f7a0"; }
+
+.fa-glass-whiskey::before {
+  content: "\f7a0"; }
+
+.fa-building-circle-exclamation::before {
+  content: "\e4d3"; }
+
+.fa-magnifying-glass-chart::before {
+  content: "\e522"; }
+
+.fa-arrow-up-right-from-square::before {
+  content: "\f08e"; }
+
+.fa-external-link::before {
+  content: "\f08e"; }
+
+.fa-cubes-stacked::before {
+  content: "\e4e6"; }
+
+.fa-won-sign::before {
+  content: "\f159"; }
+
+.fa-krw::before {
+  content: "\f159"; }
+
+.fa-won::before {
+  content: "\f159"; }
+
+.fa-virus-covid::before {
+  content: "\e4a8"; }
+
+.fa-austral-sign::before {
+  content: "\e0a9"; }
+
+.fa-f::before {
+  content: "\46"; }
+
+.fa-leaf::before {
+  content: "\f06c"; }
+
+.fa-road::before {
+  content: "\f018"; }
+
+.fa-taxi::before {
+  content: "\f1ba"; }
+
+.fa-cab::before {
+  content: "\f1ba"; }
+
+.fa-person-circle-plus::before {
+  content: "\e541"; }
+
+.fa-chart-pie::before {
+  content: "\f200"; }
+
+.fa-pie-chart::before {
+  content: "\f200"; }
+
+.fa-bolt-lightning::before {
+  content: "\e0b7"; }
+
+.fa-sack-xmark::before {
+  content: "\e56a"; }
+
+.fa-file-excel::before {
+  content: "\f1c3"; }
+
+.fa-file-contract::before {
+  content: "\f56c"; }
+
+.fa-fish-fins::before {
+  content: "\e4f2"; }
+
+.fa-building-flag::before {
+  content: "\e4d5"; }
+
+.fa-face-grin-beam::before {
+  content: "\f582"; }
+
+.fa-grin-beam::before {
+  content: "\f582"; }
+
+.fa-object-ungroup::before {
+  content: "\f248"; }
+
+.fa-poop::before {
+  content: "\f619"; }
+
+.fa-location-pin::before {
+  content: "\f041"; }
+
+.fa-map-marker::before {
+  content: "\f041"; }
+
+.fa-kaaba::before {
+  content: "\f66b"; }
+
+.fa-toilet-paper::before {
+  content: "\f71e"; }
+
+.fa-helmet-safety::before {
+  content: "\f807"; }
+
+.fa-hard-hat::before {
+  content: "\f807"; }
+
+.fa-hat-hard::before {
+  content: "\f807"; }
+
+.fa-eject::before {
+  content: "\f052"; }
+
+.fa-circle-right::before {
+  content: "\f35a"; }
+
+.fa-arrow-alt-circle-right::before {
+  content: "\f35a"; }
+
+.fa-plane-circle-check::before {
+  content: "\e555"; }
+
+.fa-face-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-meh-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-object-group::before {
+  content: "\f247"; }
+
+.fa-chart-line::before {
+  content: "\f201"; }
+
+.fa-line-chart::before {
+  content: "\f201"; }
+
+.fa-mask-ventilator::before {
+  content: "\e524"; }
+
+.fa-arrow-right::before {
+  content: "\f061"; }
+
+.fa-signs-post::before {
+  content: "\f277"; }
+
+.fa-map-signs::before {
+  content: "\f277"; }
+
+.fa-cash-register::before {
+  content: "\f788"; }
+
+.fa-person-circle-question::before {
+  content: "\e542"; }
+
+.fa-h::before {
+  content: "\48"; }
+
+.fa-tarp::before {
+  content: "\e57b"; }
+
+.fa-screwdriver-wrench::before {
+  content: "\f7d9"; }
+
+.fa-tools::before {
+  content: "\f7d9"; }
+
+.fa-arrows-to-eye::before {
+  content: "\e4bf"; }
+
+.fa-plug-circle-bolt::before {
+  content: "\e55b"; }
+
+.fa-heart::before {
+  content: "\f004"; }
+
+.fa-mars-and-venus::before {
+  content: "\f224"; }
+
+.fa-house-user::before {
+  content: "\e1b0"; }
+
+.fa-home-user::before {
+  content: "\e1b0"; }
+
+.fa-dumpster-fire::before {
+  content: "\f794"; }
+
+.fa-house-crack::before {
+  content: "\e3b1"; }
+
+.fa-martini-glass-citrus::before {
+  content: "\f561"; }
+
+.fa-cocktail::before {
+  content: "\f561"; }
+
+.fa-face-surprise::before {
+  content: "\f5c2"; }
+
+.fa-surprise::before {
+  content: "\f5c2"; }
+
+.fa-bottle-water::before {
+  content: "\e4c5"; }
+
+.fa-circle-pause::before {
+  content: "\f28b"; }
+
+.fa-pause-circle::before {
+  content: "\f28b"; }
+
+.fa-toilet-paper-slash::before {
+  content: "\e072"; }
+
+.fa-apple-whole::before {
+  content: "\f5d1"; }
+
+.fa-apple-alt::before {
+  content: "\f5d1"; }
+
+.fa-kitchen-set::before {
+  content: "\e51a"; }
+
+.fa-r::before {
+  content: "\52"; }
+
+.fa-temperature-quarter::before {
+  content: "\f2ca"; }
+
+.fa-temperature-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-quarter::before {
+  content: "\f2ca"; }
+
+.fa-cube::before {
+  content: "\f1b2"; }
+
+.fa-bitcoin-sign::before {
+  content: "\e0b4"; }
+
+.fa-shield-dog::before {
+  content: "\e573"; }
+
+.fa-solar-panel::before {
+  content: "\f5ba"; }
+
+.fa-lock-open::before {
+  content: "\f3c1"; }
+
+.fa-elevator::before {
+  content: "\e16d"; }
+
+.fa-money-bill-transfer::before {
+  content: "\e528"; }
+
+.fa-money-bill-trend-up::before {
+  content: "\e529"; }
+
+.fa-house-flood-water-circle-arrow-right::before {
+  content: "\e50f"; }
+
+.fa-square-poll-horizontal::before {
+  content: "\f682"; }
+
+.fa-poll-h::before {
+  content: "\f682"; }
+
+.fa-circle::before {
+  content: "\f111"; }
+
+.fa-backward-fast::before {
+  content: "\f049"; }
+
+.fa-fast-backward::before {
+  content: "\f049"; }
+
+.fa-recycle::before {
+  content: "\f1b8"; }
+
+.fa-user-astronaut::before {
+  content: "\f4fb"; }
+
+.fa-plane-slash::before {
+  content: "\e069"; }
+
+.fa-trademark::before {
+  content: "\f25c"; }
+
+.fa-basketball::before {
+  content: "\f434"; }
+
+.fa-basketball-ball::before {
+  content: "\f434"; }
+
+.fa-satellite-dish::before {
+  content: "\f7c0"; }
+
+.fa-circle-up::before {
+  content: "\f35b"; }
+
+.fa-arrow-alt-circle-up::before {
+  content: "\f35b"; }
+
+.fa-mobile-screen-button::before {
+  content: "\f3cd"; }
+
+.fa-mobile-alt::before {
+  content: "\f3cd"; }
+
+.fa-volume-high::before {
+  content: "\f028"; }
+
+.fa-volume-up::before {
+  content: "\f028"; }
+
+.fa-users-rays::before {
+  content: "\e593"; }
+
+.fa-wallet::before {
+  content: "\f555"; }
+
+.fa-clipboard-check::before {
+  content: "\f46c"; }
+
+.fa-file-audio::before {
+  content: "\f1c7"; }
+
+.fa-burger::before {
+  content: "\f805"; }
+
+.fa-hamburger::before {
+  content: "\f805"; }
+
+.fa-wrench::before {
+  content: "\f0ad"; }
+
+.fa-bugs::before {
+  content: "\e4d0"; }
+
+.fa-rupee-sign::before {
+  content: "\f156"; }
+
+.fa-rupee::before {
+  content: "\f156"; }
+
+.fa-file-image::before {
+  content: "\f1c5"; }
+
+.fa-circle-question::before {
+  content: "\f059"; }
+
+.fa-question-circle::before {
+  content: "\f059"; }
+
+.fa-plane-departure::before {
+  content: "\f5b0"; }
+
+.fa-handshake-slash::before {
+  content: "\e060"; }
+
+.fa-book-bookmark::before {
+  content: "\e0bb"; }
+
+.fa-code-branch::before {
+  content: "\f126"; }
+
+.fa-hat-cowboy::before {
+  content: "\f8c0"; }
+
+.fa-bridge::before {
+  content: "\e4c8"; }
+
+.fa-phone-flip::before {
+  content: "\f879"; }
+
+.fa-phone-alt::before {
+  content: "\f879"; }
+
+.fa-truck-front::before {
+  content: "\e2b7"; }
+
+.fa-cat::before {
+  content: "\f6be"; }
+
+.fa-anchor-circle-exclamation::before {
+  content: "\e4ab"; }
+
+.fa-truck-field::before {
+  content: "\e58d"; }
+
+.fa-route::before {
+  content: "\f4d7"; }
+
+.fa-clipboard-question::before {
+  content: "\e4e3"; }
+
+.fa-panorama::before {
+  content: "\e209"; }
+
+.fa-comment-medical::before {
+  content: "\f7f5"; }
+
+.fa-teeth-open::before {
+  content: "\f62f"; }
+
+.fa-file-circle-minus::before {
+  content: "\e4ed"; }
+
+.fa-tags::before {
+  content: "\f02c"; }
+
+.fa-wine-glass::before {
+  content: "\f4e3"; }
+
+.fa-forward-fast::before {
+  content: "\f050"; }
+
+.fa-fast-forward::before {
+  content: "\f050"; }
+
+.fa-face-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-square-parking::before {
+  content: "\f540"; }
+
+.fa-parking::before {
+  content: "\f540"; }
+
+.fa-house-signal::before {
+  content: "\e012"; }
+
+.fa-bars-progress::before {
+  content: "\f828"; }
+
+.fa-tasks-alt::before {
+  content: "\f828"; }
+
+.fa-faucet-drip::before {
+  content: "\e006"; }
+
+.fa-cart-flatbed::before {
+  content: "\f474"; }
+
+.fa-dolly-flatbed::before {
+  content: "\f474"; }
+
+.fa-ban-smoking::before {
+  content: "\f54d"; }
+
+.fa-smoking-ban::before {
+  content: "\f54d"; }
+
+.fa-terminal::before {
+  content: "\f120"; }
+
+.fa-mobile-button::before {
+  content: "\f10b"; }
+
+.fa-house-medical-flag::before {
+  content: "\e514"; }
+
+.fa-basket-shopping::before {
+  content: "\f291"; }
+
+.fa-shopping-basket::before {
+  content: "\f291"; }
+
+.fa-tape::before {
+  content: "\f4db"; }
+
+.fa-bus-simple::before {
+  content: "\f55e"; }
+
+.fa-bus-alt::before {
+  content: "\f55e"; }
+
+.fa-eye::before {
+  content: "\f06e"; }
+
+.fa-face-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-audio-description::before {
+  content: "\f29e"; }
+
+.fa-person-military-to-person::before {
+  content: "\e54c"; }
+
+.fa-file-shield::before {
+  content: "\e4f0"; }
+
+.fa-user-slash::before {
+  content: "\f506"; }
+
+.fa-pen::before {
+  content: "\f304"; }
+
+.fa-tower-observation::before {
+  content: "\e586"; }
+
+.fa-file-code::before {
+  content: "\f1c9"; }
+
+.fa-signal::before {
+  content: "\f012"; }
+
+.fa-signal-5::before {
+  content: "\f012"; }
+
+.fa-signal-perfect::before {
+  content: "\f012"; }
+
+.fa-bus::before {
+  content: "\f207"; }
+
+.fa-heart-circle-xmark::before {
+  content: "\e501"; }
+
+.fa-house-chimney::before {
+  content: "\e3af"; }
+
+.fa-home-lg::before {
+  content: "\e3af"; }
+
+.fa-window-maximize::before {
+  content: "\f2d0"; }
+
+.fa-face-frown::before {
+  content: "\f119"; }
+
+.fa-frown::before {
+  content: "\f119"; }
+
+.fa-prescription::before {
+  content: "\f5b1"; }
+
+.fa-shop::before {
+  content: "\f54f"; }
+
+.fa-store-alt::before {
+  content: "\f54f"; }
+
+.fa-floppy-disk::before {
+  content: "\f0c7"; }
+
+.fa-save::before {
+  content: "\f0c7"; }
+
+.fa-vihara::before {
+  content: "\f6a7"; }
+
+.fa-scale-unbalanced::before {
+  content: "\f515"; }
+
+.fa-balance-scale-left::before {
+  content: "\f515"; }
+
+.fa-sort-up::before {
+  content: "\f0de"; }
+
+.fa-sort-asc::before {
+  content: "\f0de"; }
+
+.fa-comment-dots::before {
+  content: "\f4ad"; }
+
+.fa-commenting::before {
+  content: "\f4ad"; }
+
+.fa-plant-wilt::before {
+  content: "\e5aa"; }
+
+.fa-diamond::before {
+  content: "\f219"; }
+
+.fa-face-grin-squint::before {
+  content: "\f585"; }
+
+.fa-grin-squint::before {
+  content: "\f585"; }
+
+.fa-hand-holding-dollar::before {
+  content: "\f4c0"; }
+
+.fa-hand-holding-usd::before {
+  content: "\f4c0"; }
+
+.fa-bacterium::before {
+  content: "\e05a"; }
+
+.fa-hand-pointer::before {
+  content: "\f25a"; }
+
+.fa-drum-steelpan::before {
+  content: "\f56a"; }
+
+.fa-hand-scissors::before {
+  content: "\f257"; }
+
+.fa-hands-praying::before {
+  content: "\f684"; }
+
+.fa-praying-hands::before {
+  content: "\f684"; }
+
+.fa-arrow-rotate-right::before {
+  content: "\f01e"; }
+
+.fa-arrow-right-rotate::before {
+  content: "\f01e"; }
+
+.fa-arrow-rotate-forward::before {
+  content: "\f01e"; }
+
+.fa-redo::before {
+  content: "\f01e"; }
+
+.fa-biohazard::before {
+  content: "\f780"; }
+
+.fa-location-crosshairs::before {
+  content: "\f601"; }
+
+.fa-location::before {
+  content: "\f601"; }
+
+.fa-mars-double::before {
+  content: "\f227"; }
+
+.fa-child-dress::before {
+  content: "\e59c"; }
+
+.fa-users-between-lines::before {
+  content: "\e591"; }
+
+.fa-lungs-virus::before {
+  content: "\e067"; }
+
+.fa-face-grin-tears::before {
+  content: "\f588"; }
+
+.fa-grin-tears::before {
+  content: "\f588"; }
+
+.fa-phone::before {
+  content: "\f095"; }
+
+.fa-calendar-xmark::before {
+  content: "\f273"; }
+
+.fa-calendar-times::before {
+  content: "\f273"; }
+
+.fa-child-reaching::before {
+  content: "\e59d"; }
+
+.fa-head-side-virus::before {
+  content: "\e064"; }
+
+.fa-user-gear::before {
+  content: "\f4fe"; }
+
+.fa-user-cog::before {
+  content: "\f4fe"; }
+
+.fa-arrow-up-1-9::before {
+  content: "\f163"; }
+
+.fa-sort-numeric-up::before {
+  content: "\f163"; }
+
+.fa-door-closed::before {
+  content: "\f52a"; }
+
+.fa-shield-virus::before {
+  content: "\e06c"; }
+
+.fa-dice-six::before {
+  content: "\f526"; }
+
+.fa-mosquito-net::before {
+  content: "\e52c"; }
+
+.fa-bridge-water::before {
+  content: "\e4ce"; }
+
+.fa-person-booth::before {
+  content: "\f756"; }
+
+.fa-text-width::before {
+  content: "\f035"; }
+
+.fa-hat-wizard::before {
+  content: "\f6e8"; }
+
+.fa-pen-fancy::before {
+  content: "\f5ac"; }
+
+.fa-person-digging::before {
+  content: "\f85e"; }
+
+.fa-digging::before {
+  content: "\f85e"; }
+
+.fa-trash::before {
+  content: "\f1f8"; }
+
+.fa-gauge-simple::before {
+  content: "\f629"; }
+
+.fa-gauge-simple-med::before {
+  content: "\f629"; }
+
+.fa-tachometer-average::before {
+  content: "\f629"; }
+
+.fa-book-medical::before {
+  content: "\f7e6"; }
+
+.fa-poo::before {
+  content: "\f2fe"; }
+
+.fa-quote-right::before {
+  content: "\f10e"; }
+
+.fa-quote-right-alt::before {
+  content: "\f10e"; }
+
+.fa-shirt::before {
+  content: "\f553"; }
+
+.fa-t-shirt::before {
+  content: "\f553"; }
+
+.fa-tshirt::before {
+  content: "\f553"; }
+
+.fa-cubes::before {
+  content: "\f1b3"; }
+
+.fa-divide::before {
+  content: "\f529"; }
+
+.fa-tenge-sign::before {
+  content: "\f7d7"; }
+
+.fa-tenge::before {
+  content: "\f7d7"; }
+
+.fa-headphones::before {
+  content: "\f025"; }
+
+.fa-hands-holding::before {
+  content: "\f4c2"; }
+
+.fa-hands-clapping::before {
+  content: "\e1a8"; }
+
+.fa-republican::before {
+  content: "\f75e"; }
+
+.fa-arrow-left::before {
+  content: "\f060"; }
+
+.fa-person-circle-xmark::before {
+  content: "\e543"; }
+
+.fa-ruler::before {
+  content: "\f545"; }
+
+.fa-align-left::before {
+  content: "\f036"; }
+
+.fa-dice-d6::before {
+  content: "\f6d1"; }
+
+.fa-restroom::before {
+  content: "\f7bd"; }
+
+.fa-j::before {
+  content: "\4a"; }
+
+.fa-users-viewfinder::before {
+  content: "\e595"; }
+
+.fa-file-video::before {
+  content: "\f1c8"; }
+
+.fa-up-right-from-square::before {
+  content: "\f35d"; }
+
+.fa-external-link-alt::before {
+  content: "\f35d"; }
+
+.fa-table-cells::before {
+  content: "\f00a"; }
+
+.fa-th::before {
+  content: "\f00a"; }
+
+.fa-file-pdf::before {
+  content: "\f1c1"; }
+
+.fa-book-bible::before {
+  content: "\f647"; }
+
+.fa-bible::before {
+  content: "\f647"; }
+
+.fa-o::before {
+  content: "\4f"; }
+
+.fa-suitcase-medical::before {
+  content: "\f0fa"; }
+
+.fa-medkit::before {
+  content: "\f0fa"; }
+
+.fa-user-secret::before {
+  content: "\f21b"; }
+
+.fa-otter::before {
+  content: "\f700"; }
+
+.fa-person-dress::before {
+  content: "\f182"; }
+
+.fa-female::before {
+  content: "\f182"; }
+
+.fa-comment-dollar::before {
+  content: "\f651"; }
+
+.fa-business-time::before {
+  content: "\f64a"; }
+
+.fa-briefcase-clock::before {
+  content: "\f64a"; }
+
+.fa-table-cells-large::before {
+  content: "\f009"; }
+
+.fa-th-large::before {
+  content: "\f009"; }
+
+.fa-book-tanakh::before {
+  content: "\f827"; }
+
+.fa-tanakh::before {
+  content: "\f827"; }
+
+.fa-phone-volume::before {
+  content: "\f2a0"; }
+
+.fa-volume-control-phone::before {
+  content: "\f2a0"; }
+
+.fa-hat-cowboy-side::before {
+  content: "\f8c1"; }
+
+.fa-clipboard-user::before {
+  content: "\f7f3"; }
+
+.fa-child::before {
+  content: "\f1ae"; }
+
+.fa-lira-sign::before {
+  content: "\f195"; }
+
+.fa-satellite::before {
+  content: "\f7bf"; }
+
+.fa-plane-lock::before {
+  content: "\e558"; }
+
+.fa-tag::before {
+  content: "\f02b"; }
+
+.fa-comment::before {
+  content: "\f075"; }
+
+.fa-cake-candles::before {
+  content: "\f1fd"; }
+
+.fa-birthday-cake::before {
+  content: "\f1fd"; }
+
+.fa-cake::before {
+  content: "\f1fd"; }
+
+.fa-envelope::before {
+  content: "\f0e0"; }
+
+.fa-angles-up::before {
+  content: "\f102"; }
+
+.fa-angle-double-up::before {
+  content: "\f102"; }
+
+.fa-paperclip::before {
+  content: "\f0c6"; }
+
+.fa-arrow-right-to-city::before {
+  content: "\e4b3"; }
+
+.fa-ribbon::before {
+  content: "\f4d6"; }
+
+.fa-lungs::before {
+  content: "\f604"; }
+
+.fa-arrow-up-9-1::before {
+  content: "\f887"; }
+
+.fa-sort-numeric-up-alt::before {
+  content: "\f887"; }
+
+.fa-litecoin-sign::before {
+  content: "\e1d3"; }
+
+.fa-border-none::before {
+  content: "\f850"; }
+
+.fa-circle-nodes::before {
+  content: "\e4e2"; }
+
+.fa-parachute-box::before {
+  content: "\f4cd"; }
+
+.fa-indent::before {
+  content: "\f03c"; }
+
+.fa-truck-field-un::before {
+  content: "\e58e"; }
+
+.fa-hourglass::before {
+  content: "\f254"; }
+
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+  content: "\f254"; }
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+.fa-mountain::before {
+  content: "\f6fc"; }
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+  content: "\f0f0"; }
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+  content: "\f0f0"; }
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+  content: "\f05a"; }
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+.fa-info-circle::before {
+  content: "\f05a"; }
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+.fa-cloud-meatball::before {
+  content: "\f73b"; }
+
+.fa-camera::before {
+  content: "\f030"; }
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+.fa-camera-alt::before {
+  content: "\f030"; }
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+.fa-square-virus::before {
+  content: "\e578"; }
+
+.fa-meteor::before {
+  content: "\f753"; }
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+  content: "\e4dd"; }
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+  content: "\f7cc"; }
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+  content: "\f162"; }
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+  content: "\f162"; }
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+  content: "\f162"; }
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+  content: "\f4c1"; }
+
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+  content: "\f4c1"; }
+
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+  content: "\f773"; }
+
+.fa-calendar-check::before {
+  content: "\f274"; }
+
+.fa-braille::before {
+  content: "\f2a1"; }
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+.fa-prescription-bottle-medical::before {
+  content: "\f486"; }
+
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+  content: "\f486"; }
+
+.fa-landmark::before {
+  content: "\f66f"; }
+
+.fa-truck::before {
+  content: "\f0d1"; }
+
+.fa-crosshairs::before {
+  content: "\f05b"; }
+
+.fa-person-cane::before {
+  content: "\e53c"; }
+
+.fa-tent::before {
+  content: "\e57d"; }
+
+.fa-vest-patches::before {
+  content: "\e086"; }
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+  content: "\f560"; }
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+  content: "\f15d"; }
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+  content: "\f15d"; }
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+  content: "\f15d"; }
+
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+  content: "\e52a"; }
+
+.fa-cookie::before {
+  content: "\f563"; }
+
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+  content: "\f0e2"; }
+
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+  content: "\f0e2"; }
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+  content: "\f0e2"; }
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+  content: "\f0e2"; }
+
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+  content: "\f0e2"; }
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+.fa-hard-drive::before {
+  content: "\f0a0"; }
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+.fa-hdd::before {
+  content: "\f0a0"; }
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+.fa-face-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-dumbbell::before {
+  content: "\f44b"; }
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+  content: "\f022"; }
+
+.fa-list-alt::before {
+  content: "\f022"; }
+
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+  content: "\e57c"; }
+
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+  content: "\e511"; }
+
+.fa-person-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-calendar-plus::before {
+  content: "\f271"; }
+
+.fa-plane-arrival::before {
+  content: "\f5af"; }
+
+.fa-circle-left::before {
+  content: "\f359"; }
+
+.fa-arrow-alt-circle-left::before {
+  content: "\f359"; }
+
+.fa-train-subway::before {
+  content: "\f239"; }
+
+.fa-subway::before {
+  content: "\f239"; }
+
+.fa-chart-gantt::before {
+  content: "\e0e4"; }
+
+.fa-indian-rupee-sign::before {
+  content: "\e1bc"; }
+
+.fa-indian-rupee::before {
+  content: "\e1bc"; }
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+.fa-inr::before {
+  content: "\e1bc"; }
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+.fa-crop-simple::before {
+  content: "\f565"; }
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+.fa-crop-alt::before {
+  content: "\f565"; }
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+.fa-money-bill-1::before {
+  content: "\f3d1"; }
+
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+  content: "\f3d1"; }
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+  content: "\f30a"; }
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+  content: "\f30a"; }
+
+.fa-dna::before {
+  content: "\f471"; }
+
+.fa-virus-slash::before {
+  content: "\e075"; }
+
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+  content: "\f068"; }
+
+.fa-subtract::before {
+  content: "\f068"; }
+
+.fa-chess::before {
+  content: "\f439"; }
+
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+  content: "\f177"; }
+
+.fa-long-arrow-left::before {
+  content: "\f177"; }
+
+.fa-plug-circle-check::before {
+  content: "\e55c"; }
+
+.fa-street-view::before {
+  content: "\f21d"; }
+
+.fa-franc-sign::before {
+  content: "\e18f"; }
+
+.fa-volume-off::before {
+  content: "\f026"; }
+
+.fa-hands-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-hands-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-gear::before {
+  content: "\f013"; }
+
+.fa-cog::before {
+  content: "\f013"; }
+
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+  content: "\f5c7"; }
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+.fa-tint-slash::before {
+  content: "\f5c7"; }
+
+.fa-mosque::before {
+  content: "\f678"; }
+
+.fa-mosquito::before {
+  content: "\e52b"; }
+
+.fa-star-of-david::before {
+  content: "\f69a"; }
+
+.fa-person-military-rifle::before {
+  content: "\e54b"; }
+
+.fa-cart-shopping::before {
+  content: "\f07a"; }
+
+.fa-shopping-cart::before {
+  content: "\f07a"; }
+
+.fa-vials::before {
+  content: "\f493"; }
+
+.fa-plug-circle-plus::before {
+  content: "\e55f"; }
+
+.fa-place-of-worship::before {
+  content: "\f67f"; }
+
+.fa-grip-vertical::before {
+  content: "\f58e"; }
+
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+  content: "\f148"; }
+
+.fa-level-up::before {
+  content: "\f148"; }
+
+.fa-u::before {
+  content: "\55"; }
+
+.fa-square-root-variable::before {
+  content: "\f698"; }
+
+.fa-square-root-alt::before {
+  content: "\f698"; }
+
+.fa-clock::before {
+  content: "\f017"; }
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+.fa-clock-four::before {
+  content: "\f017"; }
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+.fa-backward-step::before {
+  content: "\f048"; }
+
+.fa-step-backward::before {
+  content: "\f048"; }
+
+.fa-pallet::before {
+  content: "\f482"; }
+
+.fa-faucet::before {
+  content: "\e005"; }
+
+.fa-baseball-bat-ball::before {
+  content: "\f432"; }
+
+.fa-s::before {
+  content: "\53"; }
+
+.fa-timeline::before {
+  content: "\e29c"; }
+
+.fa-keyboard::before {
+  content: "\f11c"; }
+
+.fa-caret-down::before {
+  content: "\f0d7"; }
+
+.fa-house-chimney-medical::before {
+  content: "\f7f2"; }
+
+.fa-clinic-medical::before {
+  content: "\f7f2"; }
+
+.fa-temperature-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-temperature-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-mobile-screen::before {
+  content: "\f3cf"; }
+
+.fa-mobile-android-alt::before {
+  content: "\f3cf"; }
+
+.fa-plane-up::before {
+  content: "\e22d"; }
+
+.fa-piggy-bank::before {
+  content: "\f4d3"; }
+
+.fa-battery-half::before {
+  content: "\f242"; }
+
+.fa-battery-3::before {
+  content: "\f242"; }
+
+.fa-mountain-city::before {
+  content: "\e52e"; }
+
+.fa-coins::before {
+  content: "\f51e"; }
+
+.fa-khanda::before {
+  content: "\f66d"; }
+
+.fa-sliders::before {
+  content: "\f1de"; }
+
+.fa-sliders-h::before {
+  content: "\f1de"; }
+
+.fa-folder-tree::before {
+  content: "\f802"; }
+
+.fa-network-wired::before {
+  content: "\f6ff"; }
+
+.fa-map-pin::before {
+  content: "\f276"; }
+
+.fa-hamsa::before {
+  content: "\f665"; }
+
+.fa-cent-sign::before {
+  content: "\e3f5"; }
+
+.fa-flask::before {
+  content: "\f0c3"; }
+
+.fa-person-pregnant::before {
+  content: "\e31e"; }
+
+.fa-wand-sparkles::before {
+  content: "\f72b"; }
+
+.fa-ellipsis-vertical::before {
+  content: "\f142"; }
+
+.fa-ellipsis-v::before {
+  content: "\f142"; }
+
+.fa-ticket::before {
+  content: "\f145"; }
+
+.fa-power-off::before {
+  content: "\f011"; }
+
+.fa-right-long::before {
+  content: "\f30b"; }
+
+.fa-long-arrow-alt-right::before {
+  content: "\f30b"; }
+
+.fa-flag-usa::before {
+  content: "\f74d"; }
+
+.fa-laptop-file::before {
+  content: "\e51d"; }
+
+.fa-tty::before {
+  content: "\f1e4"; }
+
+.fa-teletype::before {
+  content: "\f1e4"; }
+
+.fa-diagram-next::before {
+  content: "\e476"; }
+
+.fa-person-rifle::before {
+  content: "\e54e"; }
+
+.fa-house-medical-circle-exclamation::before {
+  content: "\e512"; }
+
+.fa-closed-captioning::before {
+  content: "\f20a"; }
+
+.fa-person-hiking::before {
+  content: "\f6ec"; }
+
+.fa-hiking::before {
+  content: "\f6ec"; }
+
+.fa-venus-double::before {
+  content: "\f226"; }
+
+.fa-images::before {
+  content: "\f302"; }
+
+.fa-calculator::before {
+  content: "\f1ec"; }
+
+.fa-people-pulling::before {
+  content: "\e535"; }
+
+.fa-n::before {
+  content: "\4e"; }
+
+.fa-cable-car::before {
+  content: "\f7da"; }
+
+.fa-tram::before {
+  content: "\f7da"; }
+
+.fa-cloud-rain::before {
+  content: "\f73d"; }
+
+.fa-building-circle-xmark::before {
+  content: "\e4d4"; }
+
+.fa-ship::before {
+  content: "\f21a"; }
+
+.fa-arrows-down-to-line::before {
+  content: "\e4b8"; }
+
+.fa-download::before {
+  content: "\f019"; }
+
+.fa-face-grin::before {
+  content: "\f580"; }
+
+.fa-grin::before {
+  content: "\f580"; }
+
+.fa-delete-left::before {
+  content: "\f55a"; }
+
+.fa-backspace::before {
+  content: "\f55a"; }
+
+.fa-eye-dropper::before {
+  content: "\f1fb"; }
+
+.fa-eye-dropper-empty::before {
+  content: "\f1fb"; }
+
+.fa-eyedropper::before {
+  content: "\f1fb"; }
+
+.fa-file-circle-check::before {
+  content: "\e5a0"; }
+
+.fa-forward::before {
+  content: "\f04e"; }
+
+.fa-mobile::before {
+  content: "\f3ce"; }
+
+.fa-mobile-android::before {
+  content: "\f3ce"; }
+
+.fa-mobile-phone::before {
+  content: "\f3ce"; }
+
+.fa-face-meh::before {
+  content: "\f11a"; }
+
+.fa-meh::before {
+  content: "\f11a"; }
+
+.fa-align-center::before {
+  content: "\f037"; }
+
+.fa-book-skull::before {
+  content: "\f6b7"; }
+
+.fa-book-dead::before {
+  content: "\f6b7"; }
+
+.fa-id-card::before {
+  content: "\f2c2"; }
+
+.fa-drivers-license::before {
+  content: "\f2c2"; }
+
+.fa-outdent::before {
+  content: "\f03b"; }
+
+.fa-dedent::before {
+  content: "\f03b"; }
+
+.fa-heart-circle-exclamation::before {
+  content: "\e4fe"; }
+
+.fa-house::before {
+  content: "\f015"; }
+
+.fa-home::before {
+  content: "\f015"; }
+
+.fa-home-alt::before {
+  content: "\f015"; }
+
+.fa-home-lg-alt::before {
+  content: "\f015"; }
+
+.fa-calendar-week::before {
+  content: "\f784"; }
+
+.fa-laptop-medical::before {
+  content: "\f812"; }
+
+.fa-b::before {
+  content: "\42"; }
+
+.fa-file-medical::before {
+  content: "\f477"; }
+
+.fa-dice-one::before {
+  content: "\f525"; }
+
+.fa-kiwi-bird::before {
+  content: "\f535"; }
+
+.fa-arrow-right-arrow-left::before {
+  content: "\f0ec"; }
+
+.fa-exchange::before {
+  content: "\f0ec"; }
+
+.fa-rotate-right::before {
+  content: "\f2f9"; }
+
+.fa-redo-alt::before {
+  content: "\f2f9"; }
+
+.fa-rotate-forward::before {
+  content: "\f2f9"; }
+
+.fa-utensils::before {
+  content: "\f2e7"; }
+
+.fa-cutlery::before {
+  content: "\f2e7"; }
+
+.fa-arrow-up-wide-short::before {
+  content: "\f161"; }
+
+.fa-sort-amount-up::before {
+  content: "\f161"; }
+
+.fa-mill-sign::before {
+  content: "\e1ed"; }
+
+.fa-bowl-rice::before {
+  content: "\e2eb"; }
+
+.fa-skull::before {
+  content: "\f54c"; }
+
+.fa-tower-broadcast::before {
+  content: "\f519"; }
+
+.fa-broadcast-tower::before {
+  content: "\f519"; }
+
+.fa-truck-pickup::before {
+  content: "\f63c"; }
+
+.fa-up-long::before {
+  content: "\f30c"; }
+
+.fa-long-arrow-alt-up::before {
+  content: "\f30c"; }
+
+.fa-stop::before {
+  content: "\f04d"; }
+
+.fa-code-merge::before {
+  content: "\f387"; }
+
+.fa-upload::before {
+  content: "\f093"; }
+
+.fa-hurricane::before {
+  content: "\f751"; }
+
+.fa-mound::before {
+  content: "\e52d"; }
+
+.fa-toilet-portable::before {
+  content: "\e583"; }
+
+.fa-compact-disc::before {
+  content: "\f51f"; }
+
+.fa-file-arrow-down::before {
+  content: "\f56d"; }
+
+.fa-file-download::before {
+  content: "\f56d"; }
+
+.fa-caravan::before {
+  content: "\f8ff"; }
+
+.fa-shield-cat::before {
+  content: "\e572"; }
+
+.fa-bolt::before {
+  content: "\f0e7"; }
+
+.fa-zap::before {
+  content: "\f0e7"; }
+
+.fa-glass-water::before {
+  content: "\e4f4"; }
+
+.fa-oil-well::before {
+  content: "\e532"; }
+
+.fa-vault::before {
+  content: "\e2c5"; }
+
+.fa-mars::before {
+  content: "\f222"; }
+
+.fa-toilet::before {
+  content: "\f7d8"; }
+
+.fa-plane-circle-xmark::before {
+  content: "\e557"; }
+
+.fa-yen-sign::before {
+  content: "\f157"; }
+
+.fa-cny::before {
+  content: "\f157"; }
+
+.fa-jpy::before {
+  content: "\f157"; }
+
+.fa-rmb::before {
+  content: "\f157"; }
+
+.fa-yen::before {
+  content: "\f157"; }
+
+.fa-ruble-sign::before {
+  content: "\f158"; }
+
+.fa-rouble::before {
+  content: "\f158"; }
+
+.fa-rub::before {
+  content: "\f158"; }
+
+.fa-ruble::before {
+  content: "\f158"; }
+
+.fa-sun::before {
+  content: "\f185"; }
+
+.fa-guitar::before {
+  content: "\f7a6"; }
+
+.fa-face-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-horse-head::before {
+  content: "\f7ab"; }
+
+.fa-bore-hole::before {
+  content: "\e4c3"; }
+
+.fa-industry::before {
+  content: "\f275"; }
+
+.fa-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrow-alt-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrows-turn-to-dots::before {
+  content: "\e4c1"; }
+
+.fa-florin-sign::before {
+  content: "\e184"; }
+
+.fa-arrow-down-short-wide::before {
+  content: "\f884"; }
+
+.fa-sort-amount-desc::before {
+  content: "\f884"; }
+
+.fa-sort-amount-down-alt::before {
+  content: "\f884"; }
+
+.fa-less-than::before {
+  content: "\3c"; }
+
+.fa-angle-down::before {
+  content: "\f107"; }
+
+.fa-car-tunnel::before {
+  content: "\e4de"; }
+
+.fa-head-side-cough::before {
+  content: "\e061"; }
+
+.fa-grip-lines::before {
+  content: "\f7a4"; }
+
+.fa-thumbs-down::before {
+  content: "\f165"; }
+
+.fa-user-lock::before {
+  content: "\f502"; }
+
+.fa-arrow-right-long::before {
+  content: "\f178"; }
+
+.fa-long-arrow-right::before {
+  content: "\f178"; }
+
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+  content: "\e4ac"; }
+
+.fa-ellipsis::before {
+  content: "\f141"; }
+
+.fa-ellipsis-h::before {
+  content: "\f141"; }
+
+.fa-chess-pawn::before {
+  content: "\f443"; }
+
+.fa-kit-medical::before {
+  content: "\f479"; }
+
+.fa-first-aid::before {
+  content: "\f479"; }
+
+.fa-person-through-window::before {
+  content: "\e5a9"; }
+
+.fa-toolbox::before {
+  content: "\f552"; }
+
+.fa-hands-holding-circle::before {
+  content: "\e4fb"; }
+
+.fa-bug::before {
+  content: "\f188"; }
+
+.fa-credit-card::before {
+  content: "\f09d"; }
+
+.fa-credit-card-alt::before {
+  content: "\f09d"; }
+
+.fa-car::before {
+  content: "\f1b9"; }
+
+.fa-automobile::before {
+  content: "\f1b9"; }
+
+.fa-hand-holding-hand::before {
+  content: "\e4f7"; }
+
+.fa-book-open-reader::before {
+  content: "\f5da"; }
+
+.fa-book-reader::before {
+  content: "\f5da"; }
+
+.fa-mountain-sun::before {
+  content: "\e52f"; }
+
+.fa-arrows-left-right-to-line::before {
+  content: "\e4ba"; }
+
+.fa-dice-d20::before {
+  content: "\f6cf"; }
+
+.fa-truck-droplet::before {
+  content: "\e58c"; }
+
+.fa-file-circle-xmark::before {
+  content: "\e5a1"; }
+
+.fa-temperature-arrow-up::before {
+  content: "\e040"; }
+
+.fa-temperature-up::before {
+  content: "\e040"; }
+
+.fa-medal::before {
+  content: "\f5a2"; }
+
+.fa-bed::before {
+  content: "\f236"; }
+
+.fa-square-h::before {
+  content: "\f0fd"; }
+
+.fa-h-square::before {
+  content: "\f0fd"; }
+
+.fa-podcast::before {
+  content: "\f2ce"; }
+
+.fa-temperature-full::before {
+  content: "\f2c7"; }
+
+.fa-temperature-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-full::before {
+  content: "\f2c7"; }
+
+.fa-bell::before {
+  content: "\f0f3"; }
+
+.fa-superscript::before {
+  content: "\f12b"; }
+
+.fa-plug-circle-xmark::before {
+  content: "\e560"; }
+
+.fa-star-of-life::before {
+  content: "\f621"; }
+
+.fa-phone-slash::before {
+  content: "\f3dd"; }
+
+.fa-paint-roller::before {
+  content: "\f5aa"; }
+
+.fa-handshake-angle::before {
+  content: "\f4c4"; }
+
+.fa-hands-helping::before {
+  content: "\f4c4"; }
+
+.fa-location-dot::before {
+  content: "\f3c5"; }
+
+.fa-map-marker-alt::before {
+  content: "\f3c5"; }
+
+.fa-file::before {
+  content: "\f15b"; }
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+.fa-greater-than::before {
+  content: "\3e"; }
+
+.fa-person-swimming::before {
+  content: "\f5c4"; }
+
+.fa-swimmer::before {
+  content: "\f5c4"; }
+
+.fa-arrow-down::before {
+  content: "\f063"; }
+
+.fa-droplet::before {
+  content: "\f043"; }
+
+.fa-tint::before {
+  content: "\f043"; }
+
+.fa-eraser::before {
+  content: "\f12d"; }
+
+.fa-earth-americas::before {
+  content: "\f57d"; }
+
+.fa-earth::before {
+  content: "\f57d"; }
+
+.fa-earth-america::before {
+  content: "\f57d"; }
+
+.fa-globe-americas::before {
+  content: "\f57d"; }
+
+.fa-person-burst::before {
+  content: "\e53b"; }
+
+.fa-dove::before {
+  content: "\f4ba"; }
+
+.fa-battery-empty::before {
+  content: "\f244"; }
+
+.fa-battery-0::before {
+  content: "\f244"; }
+
+.fa-socks::before {
+  content: "\f696"; }
+
+.fa-inbox::before {
+  content: "\f01c"; }
+
+.fa-section::before {
+  content: "\e447"; }
+
+.fa-gauge-high::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt-fast::before {
+  content: "\f625"; }
+
+.fa-envelope-open-text::before {
+  content: "\f658"; }
+
+.fa-hospital::before {
+  content: "\f0f8"; }
+
+.fa-hospital-alt::before {
+  content: "\f0f8"; }
+
+.fa-hospital-wide::before {
+  content: "\f0f8"; }
+
+.fa-wine-bottle::before {
+  content: "\f72f"; }
+
+.fa-chess-rook::before {
+  content: "\f447"; }
+
+.fa-bars-staggered::before {
+  content: "\f550"; }
+
+.fa-reorder::before {
+  content: "\f550"; }
+
+.fa-stream::before {
+  content: "\f550"; }
+
+.fa-dharmachakra::before {
+  content: "\f655"; }
+
+.fa-hotdog::before {
+  content: "\f80f"; }
+
+.fa-person-walking-with-cane::before {
+  content: "\f29d"; }
+
+.fa-blind::before {
+  content: "\f29d"; }
+
+.fa-drum::before {
+  content: "\f569"; }
+
+.fa-ice-cream::before {
+  content: "\f810"; }
+
+.fa-heart-circle-bolt::before {
+  content: "\e4fc"; }
+
+.fa-fax::before {
+  content: "\f1ac"; }
+
+.fa-paragraph::before {
+  content: "\f1dd"; }
+
+.fa-check-to-slot::before {
+  content: "\f772"; }
+
+.fa-vote-yea::before {
+  content: "\f772"; }
+
+.fa-star-half::before {
+  content: "\f089"; }
+
+.fa-boxes-stacked::before {
+  content: "\f468"; }
+
+.fa-boxes::before {
+  content: "\f468"; }
+
+.fa-boxes-alt::before {
+  content: "\f468"; }
+
+.fa-link::before {
+  content: "\f0c1"; }
+
+.fa-chain::before {
+  content: "\f0c1"; }
+
+.fa-ear-listen::before {
+  content: "\f2a2"; }
+
+.fa-assistive-listening-systems::before {
+  content: "\f2a2"; }
+
+.fa-tree-city::before {
+  content: "\e587"; }
+
+.fa-play::before {
+  content: "\f04b"; }
+
+.fa-font::before {
+  content: "\f031"; }
+
+.fa-rupiah-sign::before {
+  content: "\e23d"; }
+
+.fa-magnifying-glass::before {
+  content: "\f002"; }
+
+.fa-search::before {
+  content: "\f002"; }
+
+.fa-table-tennis-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-ping-pong-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-table-tennis::before {
+  content: "\f45d"; }
+
+.fa-person-dots-from-line::before {
+  content: "\f470"; }
+
+.fa-diagnoses::before {
+  content: "\f470"; }
+
+.fa-trash-can-arrow-up::before {
+  content: "\f82a"; }
+
+.fa-trash-restore-alt::before {
+  content: "\f82a"; }
+
+.fa-naira-sign::before {
+  content: "\e1f6"; }
+
+.fa-cart-arrow-down::before {
+  content: "\f218"; }
+
+.fa-walkie-talkie::before {
+  content: "\f8ef"; }
+
+.fa-file-pen::before {
+  content: "\f31c"; }
+
+.fa-file-edit::before {
+  content: "\f31c"; }
+
+.fa-receipt::before {
+  content: "\f543"; }
+
+.fa-square-pen::before {
+  content: "\f14b"; }
+
+.fa-pen-square::before {
+  content: "\f14b"; }
+
+.fa-pencil-square::before {
+  content: "\f14b"; }
+
+.fa-suitcase-rolling::before {
+  content: "\f5c1"; }
+
+.fa-person-circle-exclamation::before {
+  content: "\e53f"; }
+
+.fa-chevron-down::before {
+  content: "\f078"; }
+
+.fa-battery-full::before {
+  content: "\f240"; }
+
+.fa-battery::before {
+  content: "\f240"; }
+
+.fa-battery-5::before {
+  content: "\f240"; }
+
+.fa-skull-crossbones::before {
+  content: "\f714"; }
+
+.fa-code-compare::before {
+  content: "\e13a"; }
+
+.fa-list-ul::before {
+  content: "\f0ca"; }
+
+.fa-list-dots::before {
+  content: "\f0ca"; }
+
+.fa-school-lock::before {
+  content: "\e56f"; }
+
+.fa-tower-cell::before {
+  content: "\e585"; }
+
+.fa-down-long::before {
+  content: "\f309"; }
+
+.fa-long-arrow-alt-down::before {
+  content: "\f309"; }
+
+.fa-ranking-star::before {
+  content: "\e561"; }
+
+.fa-chess-king::before {
+  content: "\f43f"; }
+
+.fa-person-harassing::before {
+  content: "\e549"; }
+
+.fa-brazilian-real-sign::before {
+  content: "\e46c"; }
+
+.fa-landmark-dome::before {
+  content: "\f752"; }
+
+.fa-landmark-alt::before {
+  content: "\f752"; }
+
+.fa-arrow-up::before {
+  content: "\f062"; }
+
+.fa-tv::before {
+  content: "\f26c"; }
+
+.fa-television::before {
+  content: "\f26c"; }
+
+.fa-tv-alt::before {
+  content: "\f26c"; }
+
+.fa-shrimp::before {
+  content: "\e448"; }
+
+.fa-list-check::before {
+  content: "\f0ae"; }
+
+.fa-tasks::before {
+  content: "\f0ae"; }
+
+.fa-jug-detergent::before {
+  content: "\e519"; }
+
+.fa-circle-user::before {
+  content: "\f2bd"; }
+
+.fa-user-circle::before {
+  content: "\f2bd"; }
+
+.fa-user-shield::before {
+  content: "\f505"; }
+
+.fa-wind::before {
+  content: "\f72e"; }
+
+.fa-car-burst::before {
+  content: "\f5e1"; }
+
+.fa-car-crash::before {
+  content: "\f5e1"; }
+
+.fa-y::before {
+  content: "\59"; }
+
+.fa-person-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-truck-fast::before {
+  content: "\f48b"; }
+
+.fa-shipping-fast::before {
+  content: "\f48b"; }
+
+.fa-fish::before {
+  content: "\f578"; }
+
+.fa-user-graduate::before {
+  content: "\f501"; }
+
+.fa-circle-half-stroke::before {
+  content: "\f042"; }
+
+.fa-adjust::before {
+  content: "\f042"; }
+
+.fa-clapperboard::before {
+  content: "\e131"; }
+
+.fa-circle-radiation::before {
+  content: "\f7ba"; }
+
+.fa-radiation-alt::before {
+  content: "\f7ba"; }
+
+.fa-baseball::before {
+  content: "\f433"; }
+
+.fa-baseball-ball::before {
+  content: "\f433"; }
+
+.fa-jet-fighter-up::before {
+  content: "\e518"; }
+
+.fa-diagram-project::before {
+  content: "\f542"; }
+
+.fa-project-diagram::before {
+  content: "\f542"; }
+
+.fa-copy::before {
+  content: "\f0c5"; }
+
+.fa-volume-xmark::before {
+  content: "\f6a9"; }
+
+.fa-volume-mute::before {
+  content: "\f6a9"; }
+
+.fa-volume-times::before {
+  content: "\f6a9"; }
+
+.fa-hand-sparkles::before {
+  content: "\e05d"; }
+
+.fa-grip::before {
+  content: "\f58d"; }
+
+.fa-grip-horizontal::before {
+  content: "\f58d"; }
+
+.fa-share-from-square::before {
+  content: "\f14d"; }
+
+.fa-share-square::before {
+  content: "\f14d"; }
+
+.fa-child-combatant::before {
+  content: "\e4e0"; }
+
+.fa-child-rifle::before {
+  content: "\e4e0"; }
+
+.fa-gun::before {
+  content: "\e19b"; }
+
+.fa-square-phone::before {
+  content: "\f098"; }
+
+.fa-phone-square::before {
+  content: "\f098"; }
+
+.fa-plus::before {
+  content: "\2b"; }
+
+.fa-add::before {
+  content: "\2b"; }
+
+.fa-expand::before {
+  content: "\f065"; }
+
+.fa-computer::before {
+  content: "\e4e5"; }
+
+.fa-xmark::before {
+  content: "\f00d"; }
+
+.fa-close::before {
+  content: "\f00d"; }
+
+.fa-multiply::before {
+  content: "\f00d"; }
+
+.fa-remove::before {
+  content: "\f00d"; }
+
+.fa-times::before {
+  content: "\f00d"; }
+
+.fa-arrows-up-down-left-right::before {
+  content: "\f047"; }
+
+.fa-arrows::before {
+  content: "\f047"; }
+
+.fa-chalkboard-user::before {
+  content: "\f51c"; }
+
+.fa-chalkboard-teacher::before {
+  content: "\f51c"; }
+
+.fa-peso-sign::before {
+  content: "\e222"; }
+
+.fa-building-shield::before {
+  content: "\e4d8"; }
+
+.fa-baby::before {
+  content: "\f77c"; }
+
+.fa-users-line::before {
+  content: "\e592"; }
+
+.fa-quote-left::before {
+  content: "\f10d"; }
+
+.fa-quote-left-alt::before {
+  content: "\f10d"; }
+
+.fa-tractor::before {
+  content: "\f722"; }
+
+.fa-trash-arrow-up::before {
+  content: "\f829"; }
+
+.fa-trash-restore::before {
+  content: "\f829"; }
+
+.fa-arrow-down-up-lock::before {
+  content: "\e4b0"; }
+
+.fa-lines-leaning::before {
+  content: "\e51e"; }
+
+.fa-ruler-combined::before {
+  content: "\f546"; }
+
+.fa-copyright::before {
+  content: "\f1f9"; }
+
+.fa-equals::before {
+  content: "\3d"; }
+
+.fa-blender::before {
+  content: "\f517"; }
+
+.fa-teeth::before {
+  content: "\f62e"; }
+
+.fa-shekel-sign::before {
+  content: "\f20b"; }
+
+.fa-ils::before {
+  content: "\f20b"; }
+
+.fa-shekel::before {
+  content: "\f20b"; }
+
+.fa-sheqel::before {
+  content: "\f20b"; }
+
+.fa-sheqel-sign::before {
+  content: "\f20b"; }
+
+.fa-map::before {
+  content: "\f279"; }
+
+.fa-rocket::before {
+  content: "\f135"; }
+
+.fa-photo-film::before {
+  content: "\f87c"; }
+
+.fa-photo-video::before {
+  content: "\f87c"; }
+
+.fa-folder-minus::before {
+  content: "\f65d"; }
+
+.fa-store::before {
+  content: "\f54e"; }
+
+.fa-arrow-trend-up::before {
+  content: "\e098"; }
+
+.fa-plug-circle-minus::before {
+  content: "\e55e"; }
+
+.fa-sign-hanging::before {
+  content: "\f4d9"; }
+
+.fa-sign::before {
+  content: "\f4d9"; }
+
+.fa-bezier-curve::before {
+  content: "\f55b"; }
+
+.fa-bell-slash::before {
+  content: "\f1f6"; }
+
+.fa-tablet::before {
+  content: "\f3fb"; }
+
+.fa-tablet-android::before {
+  content: "\f3fb"; }
+
+.fa-school-flag::before {
+  content: "\e56e"; }
+
+.fa-fill::before {
+  content: "\f575"; }
+
+.fa-angle-up::before {
+  content: "\f106"; }
+
+.fa-drumstick-bite::before {
+  content: "\f6d7"; }
+
+.fa-holly-berry::before {
+  content: "\f7aa"; }
+
+.fa-chevron-left::before {
+  content: "\f053"; }
+
+.fa-bacteria::before {
+  content: "\e059"; }
+
+.fa-hand-lizard::before {
+  content: "\f258"; }
+
+.fa-notdef::before {
+  content: "\e1fe"; }
+
+.fa-disease::before {
+  content: "\f7fa"; }
+
+.fa-briefcase-medical::before {
+  content: "\f469"; }
+
+.fa-genderless::before {
+  content: "\f22d"; }
+
+.fa-chevron-right::before {
+  content: "\f054"; }
+
+.fa-retweet::before {
+  content: "\f079"; }
+
+.fa-car-rear::before {
+  content: "\f5de"; }
+
+.fa-car-alt::before {
+  content: "\f5de"; }
+
+.fa-pump-soap::before {
+  content: "\e06b"; }
+
+.fa-video-slash::before {
+  content: "\f4e2"; }
+
+.fa-battery-quarter::before {
+  content: "\f243"; }
+
+.fa-battery-2::before {
+  content: "\f243"; }
+
+.fa-radio::before {
+  content: "\f8d7"; }
+
+.fa-baby-carriage::before {
+  content: "\f77d"; }
+
+.fa-carriage-baby::before {
+  content: "\f77d"; }
+
+.fa-traffic-light::before {
+  content: "\f637"; }
+
+.fa-thermometer::before {
+  content: "\f491"; }
+
+.fa-vr-cardboard::before {
+  content: "\f729"; }
+
+.fa-hand-middle-finger::before {
+  content: "\f806"; }
+
+.fa-percent::before {
+  content: "\25"; }
+
+.fa-percentage::before {
+  content: "\25"; }
+
+.fa-truck-moving::before {
+  content: "\f4df"; }
+
+.fa-glass-water-droplet::before {
+  content: "\e4f5"; }
+
+.fa-display::before {
+  content: "\e163"; }
+
+.fa-face-smile::before {
+  content: "\f118"; }
+
+.fa-smile::before {
+  content: "\f118"; }
+
+.fa-thumbtack::before {
+  content: "\f08d"; }
+
+.fa-thumb-tack::before {
+  content: "\f08d"; }
+
+.fa-trophy::before {
+  content: "\f091"; }
+
+.fa-person-praying::before {
+  content: "\f683"; }
+
+.fa-pray::before {
+  content: "\f683"; }
+
+.fa-hammer::before {
+  content: "\f6e3"; }
+
+.fa-hand-peace::before {
+  content: "\f25b"; }
+
+.fa-rotate::before {
+  content: "\f2f1"; }
+
+.fa-sync-alt::before {
+  content: "\f2f1"; }
+
+.fa-spinner::before {
+  content: "\f110"; }
+
+.fa-robot::before {
+  content: "\f544"; }
+
+.fa-peace::before {
+  content: "\f67c"; }
+
+.fa-gears::before {
+  content: "\f085"; }
+
+.fa-cogs::before {
+  content: "\f085"; }
+
+.fa-warehouse::before {
+  content: "\f494"; }
+
+.fa-arrow-up-right-dots::before {
+  content: "\e4b7"; }
+
+.fa-splotch::before {
+  content: "\f5bc"; }
+
+.fa-face-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-dice-four::before {
+  content: "\f524"; }
+
+.fa-sim-card::before {
+  content: "\f7c4"; }
+
+.fa-transgender::before {
+  content: "\f225"; }
+
+.fa-transgender-alt::before {
+  content: "\f225"; }
+
+.fa-mercury::before {
+  content: "\f223"; }
+
+.fa-arrow-turn-down::before {
+  content: "\f149"; }
+
+.fa-level-down::before {
+  content: "\f149"; }
+
+.fa-person-falling-burst::before {
+  content: "\e547"; }
+
+.fa-award::before {
+  content: "\f559"; }
+
+.fa-ticket-simple::before {
+  content: "\f3ff"; }
+
+.fa-ticket-alt::before {
+  content: "\f3ff"; }
+
+.fa-building::before {
+  content: "\f1ad"; }
+
+.fa-angles-left::before {
+  content: "\f100"; }
+
+.fa-angle-double-left::before {
+  content: "\f100"; }
+
+.fa-qrcode::before {
+  content: "\f029"; }
+
+.fa-clock-rotate-left::before {
+  content: "\f1da"; }
+
+.fa-history::before {
+  content: "\f1da"; }
+
+.fa-face-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-file-export::before {
+  content: "\f56e"; }
+
+.fa-arrow-right-from-file::before {
+  content: "\f56e"; }
+
+.fa-shield::before {
+  content: "\f132"; }
+
+.fa-shield-blank::before {
+  content: "\f132"; }
+
+.fa-arrow-up-short-wide::before {
+  content: "\f885"; }
+
+.fa-sort-amount-up-alt::before {
+  content: "\f885"; }
+
+.fa-house-medical::before {
+  content: "\e3b2"; }
+
+.fa-golf-ball-tee::before {
+  content: "\f450"; }
+
+.fa-golf-ball::before {
+  content: "\f450"; }
+
+.fa-circle-chevron-left::before {
+  content: "\f137"; }
+
+.fa-chevron-circle-left::before {
+  content: "\f137"; }
+
+.fa-house-chimney-window::before {
+  content: "\e00d"; }
+
+.fa-pen-nib::before {
+  content: "\f5ad"; }
+
+.fa-tent-arrow-turn-left::before {
+  content: "\e580"; }
+
+.fa-tents::before {
+  content: "\e582"; }
+
+.fa-wand-magic::before {
+  content: "\f0d0"; }
+
+.fa-magic::before {
+  content: "\f0d0"; }
+
+.fa-dog::before {
+  content: "\f6d3"; }
+
+.fa-carrot::before {
+  content: "\f787"; }
+
+.fa-moon::before {
+  content: "\f186"; }
+
+.fa-wine-glass-empty::before {
+  content: "\f5ce"; }
+
+.fa-wine-glass-alt::before {
+  content: "\f5ce"; }
+
+.fa-cheese::before {
+  content: "\f7ef"; }
+
+.fa-yin-yang::before {
+  content: "\f6ad"; }
+
+.fa-music::before {
+  content: "\f001"; }
+
+.fa-code-commit::before {
+  content: "\f386"; }
+
+.fa-temperature-low::before {
+  content: "\f76b"; }
+
+.fa-person-biking::before {
+  content: "\f84a"; }
+
+.fa-biking::before {
+  content: "\f84a"; }
+
+.fa-broom::before {
+  content: "\f51a"; }
+
+.fa-shield-heart::before {
+  content: "\e574"; }
+
+.fa-gopuram::before {
+  content: "\f664"; }
+
+.fa-earth-oceania::before {
+  content: "\e47b"; }
+
+.fa-globe-oceania::before {
+  content: "\e47b"; }
+
+.fa-square-xmark::before {
+  content: "\f2d3"; }
+
+.fa-times-square::before {
+  content: "\f2d3"; }
+
+.fa-xmark-square::before {
+  content: "\f2d3"; }
+
+.fa-hashtag::before {
+  content: "\23"; }
+
+.fa-up-right-and-down-left-from-center::before {
+  content: "\f424"; }
+
+.fa-expand-alt::before {
+  content: "\f424"; }
+
+.fa-oil-can::before {
+  content: "\f613"; }
+
+.fa-t::before {
+  content: "\54"; }
+
+.fa-hippo::before {
+  content: "\f6ed"; }
+
+.fa-chart-column::before {
+  content: "\e0e3"; }
+
+.fa-infinity::before {
+  content: "\f534"; }
+
+.fa-vial-circle-check::before {
+  content: "\e596"; }
+
+.fa-person-arrow-down-to-line::before {
+  content: "\e538"; }
+
+.fa-voicemail::before {
+  content: "\f897"; }
+
+.fa-fan::before {
+  content: "\f863"; }
+
+.fa-person-walking-luggage::before {
+  content: "\e554"; }
+
+.fa-up-down::before {
+  content: "\f338"; }
+
+.fa-arrows-alt-v::before {
+  content: "\f338"; }
+
+.fa-cloud-moon-rain::before {
+  content: "\f73c"; }
+
+.fa-calendar::before {
+  content: "\f133"; }
+
+.fa-trailer::before {
+  content: "\e041"; }
+
+.fa-bahai::before {
+  content: "\f666"; }
+
+.fa-haykal::before {
+  content: "\f666"; }
+
+.fa-sd-card::before {
+  content: "\f7c2"; }
+
+.fa-dragon::before {
+  content: "\f6d5"; }
+
+.fa-shoe-prints::before {
+  content: "\f54b"; }
+
+.fa-circle-plus::before {
+  content: "\f055"; }
+
+.fa-plus-circle::before {
+  content: "\f055"; }
+
+.fa-face-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-hand-holding::before {
+  content: "\f4bd"; }
+
+.fa-plug-circle-exclamation::before {
+  content: "\e55d"; }
+
+.fa-link-slash::before {
+  content: "\f127"; }
+
+.fa-chain-broken::before {
+  content: "\f127"; }
+
+.fa-chain-slash::before {
+  content: "\f127"; }
+
+.fa-unlink::before {
+  content: "\f127"; }
+
+.fa-clone::before {
+  content: "\f24d"; }
+
+.fa-person-walking-arrow-loop-left::before {
+  content: "\e551"; }
+
+.fa-arrow-up-z-a::before {
+  content: "\f882"; }
+
+.fa-sort-alpha-up-alt::before {
+  content: "\f882"; }
+
+.fa-fire-flame-curved::before {
+  content: "\f7e4"; }
+
+.fa-fire-alt::before {
+  content: "\f7e4"; }
+
+.fa-tornado::before {
+  content: "\f76f"; }
+
+.fa-file-circle-plus::before {
+  content: "\e494"; }
+
+.fa-book-quran::before {
+  content: "\f687"; }
+
+.fa-quran::before {
+  content: "\f687"; }
+
+.fa-anchor::before {
+  content: "\f13d"; }
+
+.fa-border-all::before {
+  content: "\f84c"; }
+
+.fa-face-angry::before {
+  content: "\f556"; }
+
+.fa-angry::before {
+  content: "\f556"; }
+
+.fa-cookie-bite::before {
+  content: "\f564"; }
+
+.fa-arrow-trend-down::before {
+  content: "\e097"; }
+
+.fa-rss::before {
+  content: "\f09e"; }
+
+.fa-feed::before {
+  content: "\f09e"; }
+
+.fa-draw-polygon::before {
+  content: "\f5ee"; }
+
+.fa-scale-balanced::before {
+  content: "\f24e"; }
+
+.fa-balance-scale::before {
+  content: "\f24e"; }
+
+.fa-gauge-simple-high::before {
+  content: "\f62a"; }
+
+.fa-tachometer::before {
+  content: "\f62a"; }
+
+.fa-tachometer-fast::before {
+  content: "\f62a"; }
+
+.fa-shower::before {
+  content: "\f2cc"; }
+
+.fa-desktop::before {
+  content: "\f390"; }
+
+.fa-desktop-alt::before {
+  content: "\f390"; }
+
+.fa-m::before {
+  content: "\4d"; }
+
+.fa-table-list::before {
+  content: "\f00b"; }
+
+.fa-th-list::before {
+  content: "\f00b"; }
+
+.fa-comment-sms::before {
+  content: "\f7cd"; }
+
+.fa-sms::before {
+  content: "\f7cd"; }
+
+.fa-book::before {
+  content: "\f02d"; }
+
+.fa-user-plus::before {
+  content: "\f234"; }
+
+.fa-check::before {
+  content: "\f00c"; }
+
+.fa-battery-three-quarters::before {
+  content: "\f241"; }
+
+.fa-battery-4::before {
+  content: "\f241"; }
+
+.fa-house-circle-check::before {
+  content: "\e509"; }
+
+.fa-angle-left::before {
+  content: "\f104"; }
+
+.fa-diagram-successor::before {
+  content: "\e47a"; }
+
+.fa-truck-arrow-right::before {
+  content: "\e58b"; }
+
+.fa-arrows-split-up-and-left::before {
+  content: "\e4bc"; }
+
+.fa-hand-fist::before {
+  content: "\f6de"; }
+
+.fa-fist-raised::before {
+  content: "\f6de"; }
+
+.fa-cloud-moon::before {
+  content: "\f6c3"; }
+
+.fa-briefcase::before {
+  content: "\f0b1"; }
+
+.fa-person-falling::before {
+  content: "\e546"; }
+
+.fa-image-portrait::before {
+  content: "\f3e0"; }
+
+.fa-portrait::before {
+  content: "\f3e0"; }
+
+.fa-user-tag::before {
+  content: "\f507"; }
+
+.fa-rug::before {
+  content: "\e569"; }
+
+.fa-earth-europe::before {
+  content: "\f7a2"; }
+
+.fa-globe-europe::before {
+  content: "\f7a2"; }
+
+.fa-cart-flatbed-suitcase::before {
+  content: "\f59d"; }
+
+.fa-luggage-cart::before {
+  content: "\f59d"; }
+
+.fa-rectangle-xmark::before {
+  content: "\f410"; }
+
+.fa-rectangle-times::before {
+  content: "\f410"; }
+
+.fa-times-rectangle::before {
+  content: "\f410"; }
+
+.fa-window-close::before {
+  content: "\f410"; }
+
+.fa-baht-sign::before {
+  content: "\e0ac"; }
+
+.fa-book-open::before {
+  content: "\f518"; }
+
+.fa-book-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-handcuffs::before {
+  content: "\e4f8"; }
+
+.fa-triangle-exclamation::before {
+  content: "\f071"; }
+
+.fa-exclamation-triangle::before {
+  content: "\f071"; }
+
+.fa-warning::before {
+  content: "\f071"; }
+
+.fa-database::before {
+  content: "\f1c0"; }
+
+.fa-share::before {
+  content: "\f064"; }
+
+.fa-arrow-turn-right::before {
+  content: "\f064"; }
+
+.fa-mail-forward::before {
+  content: "\f064"; }
+
+.fa-bottle-droplet::before {
+  content: "\e4c4"; }
+
+.fa-mask-face::before {
+  content: "\e1d7"; }
+
+.fa-hill-rockslide::before {
+  content: "\e508"; }
+
+.fa-right-left::before {
+  content: "\f362"; }
+
+.fa-exchange-alt::before {
+  content: "\f362"; }
+
+.fa-paper-plane::before {
+  content: "\f1d8"; }
+
+.fa-road-circle-exclamation::before {
+  content: "\e565"; }
+
+.fa-dungeon::before {
+  content: "\f6d9"; }
+
+.fa-align-right::before {
+  content: "\f038"; }
+
+.fa-money-bill-1-wave::before {
+  content: "\f53b"; }
+
+.fa-money-bill-wave-alt::before {
+  content: "\f53b"; }
+
+.fa-life-ring::before {
+  content: "\f1cd"; }
+
+.fa-hands::before {
+  content: "\f2a7"; }
+
+.fa-sign-language::before {
+  content: "\f2a7"; }
+
+.fa-signing::before {
+  content: "\f2a7"; }
+
+.fa-calendar-day::before {
+  content: "\f783"; }
+
+.fa-water-ladder::before {
+  content: "\f5c5"; }
+
+.fa-ladder-water::before {
+  content: "\f5c5"; }
+
+.fa-swimming-pool::before {
+  content: "\f5c5"; }
+
+.fa-arrows-up-down::before {
+  content: "\f07d"; }
+
+.fa-arrows-v::before {
+  content: "\f07d"; }
+
+.fa-face-grimace::before {
+  content: "\f57f"; }
+
+.fa-grimace::before {
+  content: "\f57f"; }
+
+.fa-wheelchair-move::before {
+  content: "\e2ce"; }
+
+.fa-wheelchair-alt::before {
+  content: "\e2ce"; }
+
+.fa-turn-down::before {
+  content: "\f3be"; }
+
+.fa-level-down-alt::before {
+  content: "\f3be"; }
+
+.fa-person-walking-arrow-right::before {
+  content: "\e552"; }
+
+.fa-square-envelope::before {
+  content: "\f199"; }
+
+.fa-envelope-square::before {
+  content: "\f199"; }
+
+.fa-dice::before {
+  content: "\f522"; }
+
+.fa-bowling-ball::before {
+  content: "\f436"; }
+
+.fa-brain::before {
+  content: "\f5dc"; }
+
+.fa-bandage::before {
+  content: "\f462"; }
+
+.fa-band-aid::before {
+  content: "\f462"; }
+
+.fa-calendar-minus::before {
+  content: "\f272"; }
+
+.fa-circle-xmark::before {
+  content: "\f057"; }
+
+.fa-times-circle::before {
+  content: "\f057"; }
+
+.fa-xmark-circle::before {
+  content: "\f057"; }
+
+.fa-gifts::before {
+  content: "\f79c"; }
+
+.fa-hotel::before {
+  content: "\f594"; }
+
+.fa-earth-asia::before {
+  content: "\f57e"; }
+
+.fa-globe-asia::before {
+  content: "\f57e"; }
+
+.fa-id-card-clip::before {
+  content: "\f47f"; }
+
+.fa-id-card-alt::before {
+  content: "\f47f"; }
+
+.fa-magnifying-glass-plus::before {
+  content: "\f00e"; }
+
+.fa-search-plus::before {
+  content: "\f00e"; }
+
+.fa-thumbs-up::before {
+  content: "\f164"; }
+
+.fa-user-clock::before {
+  content: "\f4fd"; }
+
+.fa-hand-dots::before {
+  content: "\f461"; }
+
+.fa-allergies::before {
+  content: "\f461"; }
+
+.fa-file-invoice::before {
+  content: "\f570"; }
+
+.fa-window-minimize::before {
+  content: "\f2d1"; }
+
+.fa-mug-saucer::before {
+  content: "\f0f4"; }
+
+.fa-coffee::before {
+  content: "\f0f4"; }
+
+.fa-brush::before {
+  content: "\f55d"; }
+
+.fa-mask::before {
+  content: "\f6fa"; }
+
+.fa-magnifying-glass-minus::before {
+  content: "\f010"; }
+
+.fa-search-minus::before {
+  content: "\f010"; }
+
+.fa-ruler-vertical::before {
+  content: "\f548"; }
+
+.fa-user-large::before {
+  content: "\f406"; }
+
+.fa-user-alt::before {
+  content: "\f406"; }
+
+.fa-train-tram::before {
+  content: "\e5b4"; }
+
+.fa-user-nurse::before {
+  content: "\f82f"; }
+
+.fa-syringe::before {
+  content: "\f48e"; }
+
+.fa-cloud-sun::before {
+  content: "\f6c4"; }
+
+.fa-stopwatch-20::before {
+  content: "\e06f"; }
+
+.fa-square-full::before {
+  content: "\f45c"; }
+
+.fa-magnet::before {
+  content: "\f076"; }
+
+.fa-jar::before {
+  content: "\e516"; }
+
+.fa-note-sticky::before {
+  content: "\f249"; }
+
+.fa-sticky-note::before {
+  content: "\f249"; }
+
+.fa-bug-slash::before {
+  content: "\e490"; }
+
+.fa-arrow-up-from-water-pump::before {
+  content: "\e4b6"; }
+
+.fa-bone::before {
+  content: "\f5d7"; }
+
+.fa-user-injured::before {
+  content: "\f728"; }
+
+.fa-face-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-plane::before {
+  content: "\f072"; }
+
+.fa-tent-arrows-down::before {
+  content: "\e581"; }
+
+.fa-exclamation::before {
+  content: "\21"; }
+
+.fa-arrows-spin::before {
+  content: "\e4bb"; }
+
+.fa-print::before {
+  content: "\f02f"; }
+
+.fa-turkish-lira-sign::before {
+  content: "\e2bb"; }
+
+.fa-try::before {
+  content: "\e2bb"; }
+
+.fa-turkish-lira::before {
+  content: "\e2bb"; }
+
+.fa-dollar-sign::before {
+  content: "\24"; }
+
+.fa-dollar::before {
+  content: "\24"; }
+
+.fa-usd::before {
+  content: "\24"; }
+
+.fa-x::before {
+  content: "\58"; }
+
+.fa-magnifying-glass-dollar::before {
+  content: "\f688"; }
+
+.fa-search-dollar::before {
+  content: "\f688"; }
+
+.fa-users-gear::before {
+  content: "\f509"; }
+
+.fa-users-cog::before {
+  content: "\f509"; }
+
+.fa-person-military-pointing::before {
+  content: "\e54a"; }
+
+.fa-building-columns::before {
+  content: "\f19c"; }
+
+.fa-bank::before {
+  content: "\f19c"; }
+
+.fa-institution::before {
+  content: "\f19c"; }
+
+.fa-museum::before {
+  content: "\f19c"; }
+
+.fa-university::before {
+  content: "\f19c"; }
+
+.fa-umbrella::before {
+  content: "\f0e9"; }
+
+.fa-trowel::before {
+  content: "\e589"; }
+
+.fa-d::before {
+  content: "\44"; }
+
+.fa-stapler::before {
+  content: "\e5af"; }
+
+.fa-masks-theater::before {
+  content: "\f630"; }
+
+.fa-theater-masks::before {
+  content: "\f630"; }
+
+.fa-kip-sign::before {
+  content: "\e1c4"; }
+
+.fa-hand-point-left::before {
+  content: "\f0a5"; }
+
+.fa-handshake-simple::before {
+  content: "\f4c6"; }
+
+.fa-handshake-alt::before {
+  content: "\f4c6"; }
+
+.fa-jet-fighter::before {
+  content: "\f0fb"; }
+
+.fa-fighter-jet::before {
+  content: "\f0fb"; }
+
+.fa-square-share-nodes::before {
+  content: "\f1e1"; }
+
+.fa-share-alt-square::before {
+  content: "\f1e1"; }
+
+.fa-barcode::before {
+  content: "\f02a"; }
+
+.fa-plus-minus::before {
+  content: "\e43c"; }
+
+.fa-video::before {
+  content: "\f03d"; }
+
+.fa-video-camera::before {
+  content: "\f03d"; }
+
+.fa-graduation-cap::before {
+  content: "\f19d"; }
+
+.fa-mortar-board::before {
+  content: "\f19d"; }
+
+.fa-hand-holding-medical::before {
+  content: "\e05c"; }
+
+.fa-person-circle-check::before {
+  content: "\e53e"; }
+
+.fa-turn-up::before {
+  content: "\f3bf"; }
+
+.fa-level-up-alt::before {
+  content: "\f3bf"; }
+
+.sr-only,
+.fa-sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+
+.sr-only-focusable:not(:focus),
+.fa-sr-only-focusable:not(:focus) {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+:root, :host {
+  --fa-style-family-brands: 'Font Awesome 6 Brands';
+  --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Brands';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+.fab,
+.fa-brands {
+  font-weight: 400; }
+
+.fa-monero:before {
+  content: "\f3d0"; }
+
+.fa-hooli:before {
+  content: "\f427"; }
+
+.fa-yelp:before {
+  content: "\f1e9"; }
+
+.fa-cc-visa:before {
+  content: "\f1f0"; }
+
+.fa-lastfm:before {
+  content: "\f202"; }
+
+.fa-shopware:before {
+  content: "\f5b5"; }
+
+.fa-creative-commons-nc:before {
+  content: "\f4e8"; }
+
+.fa-aws:before {
+  content: "\f375"; }
+
+.fa-redhat:before {
+  content: "\f7bc"; }
+
+.fa-yoast:before {
+  content: "\f2b1"; }
+
+.fa-cloudflare:before {
+  content: "\e07d"; }
+
+.fa-ups:before {
+  content: "\f7e0"; }
+
+.fa-wpexplorer:before {
+  content: "\f2de"; }
+
+.fa-dyalog:before {
+  content: "\f399"; }
+
+.fa-bity:before {
+  content: "\f37a"; }
+
+.fa-stackpath:before {
+  content: "\f842"; }
+
+.fa-buysellads:before {
+  content: "\f20d"; }
+
+.fa-first-order:before {
+  content: "\f2b0"; }
+
+.fa-modx:before {
+  content: "\f285"; }
+
+.fa-guilded:before {
+  content: "\e07e"; }
+
+.fa-vnv:before {
+  content: "\f40b"; }
+
+.fa-square-js:before {
+  content: "\f3b9"; }
+
+.fa-js-square:before {
+  content: "\f3b9"; }
+
+.fa-microsoft:before {
+  content: "\f3ca"; }
+
+.fa-qq:before {
+  content: "\f1d6"; }
+
+.fa-orcid:before {
+  content: "\f8d2"; }
+
+.fa-java:before {
+  content: "\f4e4"; }
+
+.fa-invision:before {
+  content: "\f7b0"; }
+
+.fa-creative-commons-pd-alt:before {
+  content: "\f4ed"; }
+
+.fa-centercode:before {
+  content: "\f380"; }
+
+.fa-glide-g:before {
+  content: "\f2a6"; }
+
+.fa-drupal:before {
+  content: "\f1a9"; }
+
+.fa-hire-a-helper:before {
+  content: "\f3b0"; }
+
+.fa-creative-commons-by:before {
+  content: "\f4e7"; }
+
+.fa-unity:before {
+  content: "\e049"; }
+
+.fa-whmcs:before {
+  content: "\f40d"; }
+
+.fa-rocketchat:before {
+  content: "\f3e8"; }
+
+.fa-vk:before {
+  content: "\f189"; }
+
+.fa-untappd:before {
+  content: "\f405"; }
+
+.fa-mailchimp:before {
+  content: "\f59e"; }
+
+.fa-css3-alt:before {
+  content: "\f38b"; }
+
+.fa-square-reddit:before {
+  content: "\f1a2"; }
+
+.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa-vimeo-v:before {
+  content: "\f27d"; }
+
+.fa-contao:before {
+  content: "\f26d"; }
+
+.fa-square-font-awesome:before {
+  content: "\e5ad"; }
+
+.fa-deskpro:before {
+  content: "\f38f"; }
+
+.fa-sistrix:before {
+  content: "\f3ee"; }
+
+.fa-square-instagram:before {
+  content: "\e055"; }
+
+.fa-instagram-square:before {
+  content: "\e055"; }
+
+.fa-battle-net:before {
+  content: "\f835"; }
+
+.fa-the-red-yeti:before {
+  content: "\f69d"; }
+
+.fa-square-hacker-news:before {
+  content: "\f3af"; }
+
+.fa-hacker-news-square:before {
+  content: "\f3af"; }
+
+.fa-edge:before {
+  content: "\f282"; }
+
+.fa-threads:before {
+  content: "\e618"; }
+
+.fa-napster:before {
+  content: "\f3d2"; }
+
+.fa-square-snapchat:before {
+  content: "\f2ad"; }
+
+.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa-google-plus-g:before {
+  content: "\f0d5"; }
+
+.fa-artstation:before {
+  content: "\f77a"; }
+
+.fa-markdown:before {
+  content: "\f60f"; }
+
+.fa-sourcetree:before {
+  content: "\f7d3"; }
+
+.fa-google-plus:before {
+  content: "\f2b3"; }
+
+.fa-diaspora:before {
+  content: "\f791"; }
+
+.fa-foursquare:before {
+  content: "\f180"; }
+
+.fa-stack-overflow:before {
+  content: "\f16c"; }
+
+.fa-github-alt:before {
+  content: "\f113"; }
+
+.fa-phoenix-squadron:before {
+  content: "\f511"; }
+
+.fa-pagelines:before {
+  content: "\f18c"; }
+
+.fa-algolia:before {
+  content: "\f36c"; }
+
+.fa-red-river:before {
+  content: "\f3e3"; }
+
+.fa-creative-commons-sa:before {
+  content: "\f4ef"; }
+
+.fa-safari:before {
+  content: "\f267"; }
+
+.fa-google:before {
+  content: "\f1a0"; }
+
+.fa-square-font-awesome-stroke:before {
+  content: "\f35c"; }
+
+.fa-font-awesome-alt:before {
+  content: "\f35c"; }
+
+.fa-atlassian:before {
+  content: "\f77b"; }
+
+.fa-linkedin-in:before {
+  content: "\f0e1"; }
+
+.fa-digital-ocean:before {
+  content: "\f391"; }
+
+.fa-nimblr:before {
+  content: "\f5a8"; }
+
+.fa-chromecast:before {
+  content: "\f838"; }
+
+.fa-evernote:before {
+  content: "\f839"; }
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+  content: "\f2ab"; }
+
+.fa-fantasy-flight-games:before {
+  content: "\f6dc"; }
+
+.fa-rust:before {
+  content: "\e07a"; }
+
+.fa-wix:before {
+  content: "\f5cf"; }
+
+.fa-square-behance:before {
+  content: "\f1b5"; }
+
+.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa-supple:before {
+  content: "\f3f9"; }
+
+.fa-rebel:before {
+  content: "\f1d0"; }
+
+.fa-css3:before {
+  content: "\f13c"; }
+
+.fa-staylinked:before {
+  content: "\f3f5"; }
+
+.fa-kaggle:before {
+  content: "\f5fa"; }
+
+.fa-space-awesome:before {
+  content: "\e5ac"; }
+
+.fa-deviantart:before {
+  content: "\f1bd"; }
+
+.fa-cpanel:before {
+  content: "\f388"; }
+
+.fa-goodreads-g:before {
+  content: "\f3a9"; }
+
+.fa-square-git:before {
+  content: "\f1d2"; }
+
+.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa-square-tumblr:before {
+  content: "\f174"; }
+
+.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa-trello:before {
+  content: "\f181"; }
+
+.fa-creative-commons-nc-jp:before {
+  content: "\f4ea"; }
+
+.fa-get-pocket:before {
+  content: "\f265"; }
+
+.fa-perbyte:before {
+  content: "\e083"; }
+
+.fa-grunt:before {
+  content: "\f3ad"; }
+
+.fa-weebly:before {
+  content: "\f5cc"; }
+
+.fa-connectdevelop:before {
+  content: "\f20e"; }
+
+.fa-leanpub:before {
+  content: "\f212"; }
+
+.fa-black-tie:before {
+  content: "\f27e"; }
+
+.fa-themeco:before {
+  content: "\f5c6"; }
+
+.fa-python:before {
+  content: "\f3e2"; }
+
+.fa-android:before {
+  content: "\f17b"; }
+
+.fa-bots:before {
+  content: "\e340"; }
+
+.fa-free-code-camp:before {
+  content: "\f2c5"; }
+
+.fa-hornbill:before {
+  content: "\f592"; }
+
+.fa-js:before {
+  content: "\f3b8"; }
+
+.fa-ideal:before {
+  content: "\e013"; }
+
+.fa-git:before {
+  content: "\f1d3"; }
+
+.fa-dev:before {
+  content: "\f6cc"; }
+
+.fa-sketch:before {
+  content: "\f7c6"; }
+
+.fa-yandex-international:before {
+  content: "\f414"; }
+
+.fa-cc-amex:before {
+  content: "\f1f3"; }
+
+.fa-uber:before {
+  content: "\f402"; }
+
+.fa-github:before {
+  content: "\f09b"; }
+
+.fa-php:before {
+  content: "\f457"; }
+
+.fa-alipay:before {
+  content: "\f642"; }
+
+.fa-youtube:before {
+  content: "\f167"; }
+
+.fa-skyatlas:before {
+  content: "\f216"; }
+
+.fa-firefox-browser:before {
+  content: "\e007"; }
+
+.fa-replyd:before {
+  content: "\f3e6"; }
+
+.fa-suse:before {
+  content: "\f7d6"; }
+
+.fa-jenkins:before {
+  content: "\f3b6"; }
+
+.fa-twitter:before {
+  content: "\f099"; }
+
+.fa-rockrms:before {
+  content: "\f3e9"; }
+
+.fa-pinterest:before {
+  content: "\f0d2"; }
+
+.fa-buffer:before {
+  content: "\f837"; }
+
+.fa-npm:before {
+  content: "\f3d4"; }
+
+.fa-yammer:before {
+  content: "\f840"; }
+
+.fa-btc:before {
+  content: "\f15a"; }
+
+.fa-dribbble:before {
+  content: "\f17d"; }
+
+.fa-stumbleupon-circle:before {
+  content: "\f1a3"; }
+
+.fa-internet-explorer:before {
+  content: "\f26b"; }
+
+.fa-stubber:before {
+  content: "\e5c7"; }
+
+.fa-telegram:before {
+  content: "\f2c6"; }
+
+.fa-telegram-plane:before {
+  content: "\f2c6"; }
+
+.fa-old-republic:before {
+  content: "\f510"; }
+
+.fa-odysee:before {
+  content: "\e5c6"; }
+
+.fa-square-whatsapp:before {
+  content: "\f40c"; }
+
+.fa-whatsapp-square:before {
+  content: "\f40c"; }
+
+.fa-node-js:before {
+  content: "\f3d3"; }
+
+.fa-edge-legacy:before {
+  content: "\e078"; }
+
+.fa-slack:before {
+  content: "\f198"; }
+
+.fa-slack-hash:before {
+  content: "\f198"; }
+
+.fa-medrt:before {
+  content: "\f3c8"; }
+
+.fa-usb:before {
+  content: "\f287"; }
+
+.fa-tumblr:before {
+  content: "\f173"; }
+
+.fa-vaadin:before {
+  content: "\f408"; }
+
+.fa-quora:before {
+  content: "\f2c4"; }
+
+.fa-square-x-twitter:before {
+  content: "\e61a"; }
+
+.fa-reacteurope:before {
+  content: "\f75d"; }
+
+.fa-medium:before {
+  content: "\f23a"; }
+
+.fa-medium-m:before {
+  content: "\f23a"; }
+
+.fa-amilia:before {
+  content: "\f36d"; }
+
+.fa-mixcloud:before {
+  content: "\f289"; }
+
+.fa-flipboard:before {
+  content: "\f44d"; }
+
+.fa-viacoin:before {
+  content: "\f237"; }
+
+.fa-critical-role:before {
+  content: "\f6c9"; }
+
+.fa-sitrox:before {
+  content: "\e44a"; }
+
+.fa-discourse:before {
+  content: "\f393"; }
+
+.fa-joomla:before {
+  content: "\f1aa"; }
+
+.fa-mastodon:before {
+  content: "\f4f6"; }
+
+.fa-airbnb:before {
+  content: "\f834"; }
+
+.fa-wolf-pack-battalion:before {
+  content: "\f514"; }
+
+.fa-buy-n-large:before {
+  content: "\f8a6"; }
+
+.fa-gulp:before {
+  content: "\f3ae"; }
+
+.fa-creative-commons-sampling-plus:before {
+  content: "\f4f1"; }
+
+.fa-strava:before {
+  content: "\f428"; }
+
+.fa-ember:before {
+  content: "\f423"; }
+
+.fa-canadian-maple-leaf:before {
+  content: "\f785"; }
+
+.fa-teamspeak:before {
+  content: "\f4f9"; }
+
+.fa-pushed:before {
+  content: "\f3e1"; }
+
+.fa-wordpress-simple:before {
+  content: "\f411"; }
+
+.fa-nutritionix:before {
+  content: "\f3d6"; }
+
+.fa-wodu:before {
+  content: "\e088"; }
+
+.fa-google-pay:before {
+  content: "\e079"; }
+
+.fa-intercom:before {
+  content: "\f7af"; }
+
+.fa-zhihu:before {
+  content: "\f63f"; }
+
+.fa-korvue:before {
+  content: "\f42f"; }
+
+.fa-pix:before {
+  content: "\e43a"; }
+
+.fa-steam-symbol:before {
+  content: "\f3f6"; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-regular: normal 400 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+.far,
+.fa-regular {
+  font-weight: 400; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-solid: normal 900 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 900;
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+.fas,
+.fa-solid {
+  font-weight: 900; }
+@font-face {
+  font-family: 'Font Awesome 5 Brands';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 900;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
diff --git a/deps/font-awesome-6.4.2/css/all.min.css b/deps/font-awesome-6.4.2/css/all.min.css
new file mode 100644
index 0000000..6604a06
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/all.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,steps(8));animation-timing-function:var(--fa-animation-timing,steps(8))}@media (prefers-reduced-motion:reduce){.fa-beat,.fa-beat-fade,.fa-bounce,.fa-fade,.fa-flip,.fa-pulse,.fa-shake,.fa-spin,.fa-spin-pulse{-webkit-animation-delay:-1ms;animation-delay:-1ms;-webkit-animation-duration:1ms;animation-duration:1ms;-webkit-animation-iteration-count:1;animation-iteration-count:1;-webkit-transition-delay:0s;transition-delay:0s;-webkit-transition-duration:0s;transition-duration:0s}}@-webkit-keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@-webkit-keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) 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\ No newline at end of file
diff --git a/deps/font-awesome-6.4.2/css/v4-shims.css b/deps/font-awesome-6.4.2/css/v4-shims.css
new file mode 100644
index 0000000..a85953d
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.css
@@ -0,0 +1,2194 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before {
+  content: "\f000"; }
+
+.fa.fa-envelope-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-o:before {
+  content: "\f0e0"; }
+
+.fa.fa-star-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-o:before {
+  content: "\f005"; }
+
+.fa.fa-remove:before {
+  content: "\f00d"; }
+
+.fa.fa-close:before {
+  content: "\f00d"; }
+
+.fa.fa-gear:before {
+  content: "\f013"; }
+
+.fa.fa-trash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-trash-o:before {
+  content: "\f2ed"; }
+
+.fa.fa-home:before {
+  content: "\f015"; }
+
+.fa.fa-file-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-o:before {
+  content: "\f15b"; }
+
+.fa.fa-clock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-clock-o:before {
+  content: "\f017"; }
+
+.fa.fa-arrow-circle-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-down:before {
+  content: "\f358"; }
+
+.fa.fa-arrow-circle-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-up:before {
+  content: "\f35b"; }
+
+.fa.fa-play-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-play-circle-o:before {
+  content: "\f144"; }
+
+.fa.fa-repeat:before {
+  content: "\f01e"; }
+
+.fa.fa-rotate-right:before {
+  content: "\f01e"; }
+
+.fa.fa-refresh:before {
+  content: "\f021"; }
+
+.fa.fa-list-alt {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-list-alt:before {
+  content: "\f022"; }
+
+.fa.fa-dedent:before {
+  content: "\f03b"; }
+
+.fa.fa-video-camera:before {
+  content: "\f03d"; }
+
+.fa.fa-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-picture-o:before {
+  content: "\f03e"; }
+
+.fa.fa-photo {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-photo:before {
+  content: "\f03e"; }
+
+.fa.fa-image {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-image:before {
+  content: "\f03e"; }
+
+.fa.fa-map-marker:before {
+  content: "\f3c5"; }
+
+.fa.fa-pencil-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pencil-square-o:before {
+  content: "\f044"; }
+
+.fa.fa-edit {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-edit:before {
+  content: "\f044"; }
+
+.fa.fa-share-square-o:before {
+  content: "\f14d"; }
+
+.fa.fa-check-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-square-o:before {
+  content: "\f14a"; }
+
+.fa.fa-arrows:before {
+  content: "\f0b2"; }
+
+.fa.fa-times-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-circle-o:before {
+  content: "\f057"; }
+
+.fa.fa-check-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-circle-o:before {
+  content: "\f058"; }
+
+.fa.fa-mail-forward:before {
+  content: "\f064"; }
+
+.fa.fa-expand:before {
+  content: "\f424"; }
+
+.fa.fa-compress:before {
+  content: "\f422"; }
+
+.fa.fa-eye {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-eye-slash {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-warning:before {
+  content: "\f071"; }
+
+.fa.fa-calendar:before {
+  content: "\f073"; }
+
+.fa.fa-arrows-v:before {
+  content: "\f338"; }
+
+.fa.fa-arrows-h:before {
+  content: "\f337"; }
+
+.fa.fa-bar-chart:before {
+  content: "\e0e3"; }
+
+.fa.fa-bar-chart-o:before {
+  content: "\e0e3"; }
+
+.fa.fa-twitter-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa.fa-facebook-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-square:before {
+  content: "\f082"; }
+
+.fa.fa-gears:before {
+  content: "\f085"; }
+
+.fa.fa-thumbs-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-up:before {
+  content: "\f164"; }
+
+.fa.fa-thumbs-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-thumbs-o-down:before {
+  content: "\f165"; }
+
+.fa.fa-heart-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-heart-o:before {
+  content: "\f004"; }
+
+.fa.fa-sign-out:before {
+  content: "\f2f5"; }
+
+.fa.fa-linkedin-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin-square:before {
+  content: "\f08c"; }
+
+.fa.fa-thumb-tack:before {
+  content: "\f08d"; }
+
+.fa.fa-external-link:before {
+  content: "\f35d"; }
+
+.fa.fa-sign-in:before {
+  content: "\f2f6"; }
+
+.fa.fa-github-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-github-square:before {
+  content: "\f092"; }
+
+.fa.fa-lemon-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lemon-o:before {
+  content: "\f094"; }
+
+.fa.fa-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-square-o:before {
+  content: "\f0c8"; }
+
+.fa.fa-bookmark-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bookmark-o:before {
+  content: "\f02e"; }
+
+.fa.fa-twitter {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook:before {
+  content: "\f39e"; }
+
+.fa.fa-facebook-f {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-facebook-f:before {
+  content: "\f39e"; }
+
+.fa.fa-github {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-feed:before {
+  content: "\f09e"; }
+
+.fa.fa-hdd-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hdd-o:before {
+  content: "\f0a0"; }
+
+.fa.fa-hand-o-right {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-right:before {
+  content: "\f0a4"; }
+
+.fa.fa-hand-o-left {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-left:before {
+  content: "\f0a5"; }
+
+.fa.fa-hand-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-up:before {
+  content: "\f0a6"; }
+
+.fa.fa-hand-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-o-down:before {
+  content: "\f0a7"; }
+
+.fa.fa-globe:before {
+  content: "\f57d"; }
+
+.fa.fa-tasks:before {
+  content: "\f828"; }
+
+.fa.fa-arrows-alt:before {
+  content: "\f31e"; }
+
+.fa.fa-group:before {
+  content: "\f0c0"; }
+
+.fa.fa-chain:before {
+  content: "\f0c1"; }
+
+.fa.fa-cut:before {
+  content: "\f0c4"; }
+
+.fa.fa-files-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-files-o:before {
+  content: "\f0c5"; }
+
+.fa.fa-floppy-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-floppy-o:before {
+  content: "\f0c7"; }
+
+.fa.fa-save {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-save:before {
+  content: "\f0c7"; }
+
+.fa.fa-navicon:before {
+  content: "\f0c9"; }
+
+.fa.fa-reorder:before {
+  content: "\f0c9"; }
+
+.fa.fa-magic:before {
+  content: "\e2ca"; }
+
+.fa.fa-pinterest {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pinterest-square:before {
+  content: "\f0d3"; }
+
+.fa.fa-google-plus-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-square:before {
+  content: "\f0d4"; }
+
+.fa.fa-google-plus {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus:before {
+  content: "\f0d5"; }
+
+.fa.fa-money:before {
+  content: "\f3d1"; }
+
+.fa.fa-unsorted:before {
+  content: "\f0dc"; }
+
+.fa.fa-sort-desc:before {
+  content: "\f0dd"; }
+
+.fa.fa-sort-asc:before {
+  content: "\f0de"; }
+
+.fa.fa-linkedin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-linkedin:before {
+  content: "\f0e1"; }
+
+.fa.fa-rotate-left:before {
+  content: "\f0e2"; }
+
+.fa.fa-legal:before {
+  content: "\f0e3"; }
+
+.fa.fa-tachometer:before {
+  content: "\f625"; }
+
+.fa.fa-dashboard:before {
+  content: "\f625"; }
+
+.fa.fa-comment-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comment-o:before {
+  content: "\f075"; }
+
+.fa.fa-comments-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-comments-o:before {
+  content: "\f086"; }
+
+.fa.fa-flash:before {
+  content: "\f0e7"; }
+
+.fa.fa-clipboard:before {
+  content: "\f0ea"; }
+
+.fa.fa-lightbulb-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-lightbulb-o:before {
+  content: "\f0eb"; }
+
+.fa.fa-exchange:before {
+  content: "\f362"; }
+
+.fa.fa-cloud-download:before {
+  content: "\f0ed"; }
+
+.fa.fa-cloud-upload:before {
+  content: "\f0ee"; }
+
+.fa.fa-bell-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-bell-o:before {
+  content: "\f0f3"; }
+
+.fa.fa-cutlery:before {
+  content: "\f2e7"; }
+
+.fa.fa-file-text-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-text-o:before {
+  content: "\f15c"; }
+
+.fa.fa-building-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-building-o:before {
+  content: "\f1ad"; }
+
+.fa.fa-hospital-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hospital-o:before {
+  content: "\f0f8"; }
+
+.fa.fa-tablet:before {
+  content: "\f3fa"; }
+
+.fa.fa-mobile:before {
+  content: "\f3cd"; }
+
+.fa.fa-mobile-phone:before {
+  content: "\f3cd"; }
+
+.fa.fa-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-circle-o:before {
+  content: "\f111"; }
+
+.fa.fa-mail-reply:before {
+  content: "\f3e5"; }
+
+.fa.fa-github-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-folder-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-o:before {
+  content: "\f07b"; }
+
+.fa.fa-folder-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-folder-open-o:before {
+  content: "\f07c"; }
+
+.fa.fa-smile-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-smile-o:before {
+  content: "\f118"; }
+
+.fa.fa-frown-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-frown-o:before {
+  content: "\f119"; }
+
+.fa.fa-meh-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-meh-o:before {
+  content: "\f11a"; }
+
+.fa.fa-keyboard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-keyboard-o:before {
+  content: "\f11c"; }
+
+.fa.fa-flag-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-flag-o:before {
+  content: "\f024"; }
+
+.fa.fa-mail-reply-all:before {
+  content: "\f122"; }
+
+.fa.fa-star-half-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-o:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-empty {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-empty:before {
+  content: "\f5c0"; }
+
+.fa.fa-star-half-full {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-half-full:before {
+  content: "\f5c0"; }
+
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+  content: "\f203"; }
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+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
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+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-cc:before {
+  content: "\f20a"; }
+
+.fa.fa-ils:before {
+  content: "\f20b"; }
+
+.fa.fa-shekel:before {
+  content: "\f20b"; }
+
+.fa.fa-sheqel:before {
+  content: "\f20b"; }
+
+.fa.fa-buysellads {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-connectdevelop {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-dashcube {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-forumbee {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-leanpub {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-sellsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-shirtsinbulk {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-simplybuilt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-skyatlas {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-diamond {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-diamond:before {
+  content: "\f3a5"; }
+
+.fa.fa-transgender:before {
+  content: "\f224"; }
+
+.fa.fa-intersex:before {
+  content: "\f224"; }
+
+.fa.fa-transgender-alt:before {
+  content: "\f225"; }
+
+.fa.fa-facebook-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
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+  content: "\f09a"; }
+
+.fa.fa-pinterest-p {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-whatsapp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-hotel:before {
+  content: "\f236"; }
+
+.fa.fa-viacoin {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-medium {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-y-combinator {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yc:before {
+  content: "\f23b"; }
+
+.fa.fa-optin-monster {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opencart {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-expeditedssl {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-battery-4:before {
+  content: "\f240"; }
+
+.fa.fa-battery:before {
+  content: "\f240"; }
+
+.fa.fa-battery-3:before {
+  content: "\f241"; }
+
+.fa.fa-battery-2:before {
+  content: "\f242"; }
+
+.fa.fa-battery-1:before {
+  content: "\f243"; }
+
+.fa.fa-battery-0:before {
+  content: "\f244"; }
+
+.fa.fa-object-group {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-object-ungroup {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-sticky-note-o:before {
+  content: "\f249"; }
+
+.fa.fa-cc-jcb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-cc-diners-club {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-clone {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hourglass-o:before {
+  content: "\f254"; }
+
+.fa.fa-hourglass-1:before {
+  content: "\f251"; }
+
+.fa.fa-hourglass-2:before {
+  content: "\f252"; }
+
+.fa.fa-hourglass-3:before {
+  content: "\f253"; }
+
+.fa.fa-hand-rock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-rock-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-grab-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-grab-o:before {
+  content: "\f255"; }
+
+.fa.fa-hand-paper-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-paper-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-stop-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-stop-o:before {
+  content: "\f256"; }
+
+.fa.fa-hand-scissors-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-scissors-o:before {
+  content: "\f257"; }
+
+.fa.fa-hand-lizard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-lizard-o:before {
+  content: "\f258"; }
+
+.fa.fa-hand-spock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-spock-o:before {
+  content: "\f259"; }
+
+.fa.fa-hand-pointer-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-pointer-o:before {
+  content: "\f25a"; }
+
+.fa.fa-hand-peace-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-hand-peace-o:before {
+  content: "\f25b"; }
+
+.fa.fa-registered {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-creative-commons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gg-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-odnoklassniki-square:before {
+  content: "\f264"; }
+
+.fa.fa-get-pocket {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wikipedia-w {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-safari {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-chrome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-firefox {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-opera {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-internet-explorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-television:before {
+  content: "\f26c"; }
+
+.fa.fa-contao {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-500px {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-amazon {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-plus-o:before {
+  content: "\f271"; }
+
+.fa.fa-calendar-minus-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-minus-o:before {
+  content: "\f272"; }
+
+.fa.fa-calendar-times-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-times-o:before {
+  content: "\f273"; }
+
+.fa.fa-calendar-check-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-calendar-check-o:before {
+  content: "\f274"; }
+
+.fa.fa-map-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-map-o:before {
+  content: "\f279"; }
+
+.fa.fa-commenting:before {
+  content: "\f4ad"; }
+
+.fa.fa-commenting-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-commenting-o:before {
+  content: "\f4ad"; }
+
+.fa.fa-houzz {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-vimeo:before {
+  content: "\f27d"; }
+
+.fa.fa-black-tie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fonticons {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-reddit-alien {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-edge {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-credit-card-alt:before {
+  content: "\f09d"; }
+
+.fa.fa-codiepie {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-modx {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fort-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-usb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-product-hunt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-mixcloud {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-scribd {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o:before {
+  content: "\f28b"; }
+
+.fa.fa-stop-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-stop-circle-o:before {
+  content: "\f28d"; }
+
+.fa.fa-bluetooth {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bluetooth-b {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gitlab {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpbeginner {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpforms {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-envira {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt:before {
+  content: "\f368"; }
+
+.fa.fa-question-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-question-circle-o:before {
+  content: "\f059"; }
+
+.fa.fa-volume-control-phone:before {
+  content: "\f2a0"; }
+
+.fa.fa-asl-interpreting:before {
+  content: "\f2a3"; }
+
+.fa.fa-deafness:before {
+  content: "\f2a4"; }
+
+.fa.fa-hard-of-hearing:before {
+  content: "\f2a4"; }
+
+.fa.fa-glide {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-glide-g {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-signing:before {
+  content: "\f2a7"; }
+
+.fa.fa-viadeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa.fa-snapchat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa.fa-snapchat-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa.fa-pied-piper {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-first-order {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yoast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-themeisle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official:before {
+  content: "\f2b3"; }
+
+.fa.fa-google-plus-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-circle:before {
+  content: "\f2b3"; }
+
+.fa.fa-font-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa:before {
+  content: "\f2b4"; }
+
+.fa.fa-handshake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-handshake-o:before {
+  content: "\f2b5"; }
+
+.fa.fa-envelope-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-open-o:before {
+  content: "\f2b6"; }
+
+.fa.fa-linode {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-address-book-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-book-o:before {
+  content: "\f2b9"; }
+
+.fa.fa-vcard:before {
+  content: "\f2bb"; }
+
+.fa.fa-address-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-card-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-vcard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-vcard-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-user-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-circle-o:before {
+  content: "\f2bd"; }
+
+.fa.fa-user-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-o:before {
+  content: "\f007"; }
+
+.fa.fa-id-badge {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license:before {
+  content: "\f2c2"; }
+
+.fa.fa-id-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-id-card-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-drivers-license-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-quora {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-free-code-camp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-telegram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-thermometer-4:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer-3:before {
+  content: "\f2c8"; }
+
+.fa.fa-thermometer-2:before {
+  content: "\f2c9"; }
+
+.fa.fa-thermometer-1:before {
+  content: "\f2ca"; }
+
+.fa.fa-thermometer-0:before {
+  content: "\f2cb"; }
+
+.fa.fa-bathtub:before {
+  content: "\f2cd"; }
+
+.fa.fa-s15:before {
+  content: "\f2cd"; }
+
+.fa.fa-window-maximize {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-restore {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle:before {
+  content: "\f410"; }
+
+.fa.fa-window-close-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-close-o:before {
+  content: "\f410"; }
+
+.fa.fa-times-rectangle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle-o:before {
+  content: "\f410"; }
+
+.fa.fa-bandcamp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-grav {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-etsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-imdb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ravelry {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast:before {
+  content: "\f2da"; }
+
+.fa.fa-snowflake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-snowflake-o:before {
+  content: "\f2dc"; }
+
+.fa.fa-superpowers {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpexplorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-meetup {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
diff --git a/deps/font-awesome-6.4.2/css/v4-shims.min.css b/deps/font-awesome-6.4.2/css/v4-shims.min.css
new file mode 100644
index 0000000..64e4e8d
--- /dev/null
+++ b/deps/font-awesome-6.4.2/css/v4-shims.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
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diff --git a/deps/headroom-0.11.0/headroom.min.js b/deps/headroom-0.11.0/headroom.min.js
new file mode 100644
index 0000000..433069f
--- /dev/null
+++ b/deps/headroom-0.11.0/headroom.min.js
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+/*!
+ * headroom.js v0.11.0 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=l<t?"down":"up",a.distance=Math.abs(t-l),a.isOutOfBounds=t<0||o<t+n,a.top=t<=s.offset,a.bottom=o<=t+n,a.toleranceExceeded=a.distance>s.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t,n){n=n||{},Object.assign(this,o.options,n),this.classes=Object.assign({},o.options.classes,n.classes),this.elem=t,this.tolerance=function(t){return t===Object(t)?t:{down:t,up:t}}(this.tolerance),this.initialised=!1,this.frozen=!1}return o.prototype={constructor:o,init:function(){return o.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},o.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},o.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),o});
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new file mode 100644
index 0000000..17f70c9
--- /dev/null
+++ b/deps/headroom-0.11.0/jQuery.headroom.min.js
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+/*!
+ * headroom.js v0.9.4 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery);
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new file mode 100644
index 0000000..fb63a6a
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+++ b/deps/search-1.0.0/autocomplete.jquery.min.js
@@ -0,0 +1,7 @@
+/*!
+ * autocomplete.js 0.38.0
+ * https://github.com/algolia/autocomplete.js
+ * Copyright 2020 Algolia, Inc. and other contributors; Licensed MIT
+ */
+!function(a){function b(d){if(c[d])return c[d].exports;var e=c[d]={exports:{},id:d,loaded:!1};return a[d].call(e.exports,e,e.exports,b),e.loaded=!0,e.exports}var c={};b.m=a,b.c=c,b.p="",b(0)}([function(a,b,c){"use strict";a.exports=c(1)},function(a,b,c){"use strict";var d=c(2),e=c(3);d.element=e;var f=c(4);f.isArray=e.isArray,f.isFunction=e.isFunction,f.isObject=e.isPlainObject,f.bind=e.proxy,f.each=function(a,b){function c(a,c){return b(c,a)}e.each(a,c)},f.map=e.map,f.mixin=e.extend,f.Event=e.Event;var g,h,i,j=c(5),k=c(6);g=e.fn.autocomplete,h="aaAutocomplete",i={initialize:function(a,b){function c(){var c,d=e(this),f=new k({el:d});c=new j({input:d,eventBus:f,dropdownMenuContainer:a.dropdownMenuContainer,hint:void 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f=document.createElement("div");f.appendChild(document.createTextNode(c));var g=document.createElement("div");return g.appendChild(document.createTextNode(a)),g.innerHTML.replace(RegExp(d(e.innerHTML),"g"),b).replace(RegExp(d(f.innerHTML),"g"),c)}}},function(a,b,c){"use strict";function d(a){var b,c;if(a=a||{},a.input||i.error("missing input"),this.isActivated=!1,this.debug=!!a.debug,this.autoselect=!!a.autoselect,this.autoselectOnBlur=!!a.autoselectOnBlur,this.openOnFocus=!!a.openOnFocus,this.minLength=i.isNumber(a.minLength)?a.minLength:1,this.autoWidth=void 0===a.autoWidth||!!a.autoWidth,this.clearOnSelected=!!a.clearOnSelected,this.tabAutocomplete=void 0===a.tabAutocomplete||!!a.tabAutocomplete,a.hint=!!a.hint,a.hint&&a.appendTo)throw new Error("[autocomplete.js] hint and appendTo options can't be used at the same time");this.css=a.css=i.mixin({},o,a.appendTo?o.appendTo:{}),this.cssClasses=a.cssClasses=i.mixin({},o.defaultClasses,a.cssClasses||{}),this.cssClasses.prefix=a.cssClasses.formattedPrefix=i.formatPrefix(this.cssClasses.prefix,this.cssClasses.noPrefix),this.listboxId=a.listboxId=[this.cssClasses.root,"listbox",i.getUniqueId()].join("-");var f=e(a);this.$node=f.wrapper;var g=this.$input=f.input;b=f.menu,c=f.hint,a.dropdownMenuContainer&&j.element(a.dropdownMenuContainer).css("position","relative").append(b.css("top","0")),g.on("blur.aa",function(a){var c=document.activeElement;i.isMsie()&&(b[0]===c||b[0].contains(c))&&(a.preventDefault(),a.stopImmediatePropagation(),i.defer(function(){g.focus()}))}),b.on("mousedown.aa",function(a){a.preventDefault()}),this.eventBus=a.eventBus||new k({el:g}),this.dropdown=new d.Dropdown({appendTo:a.appendTo,wrapper:this.$node,menu:b,datasets:a.datasets,templates:a.templates,cssClasses:a.cssClasses,minLength:this.minLength}).onSync("suggestionClicked",this._onSuggestionClicked,this).onSync("cursorMoved",this._onCursorMoved,this).onSync("cursorRemoved",this._onCursorRemoved,this).onSync("opened",this._onOpened,this).onSync("closed",this._onClosed,this).onSync("shown",this._onShown,this).onSync("empty",this._onEmpty,this).onSync("redrawn",this._onRedrawn,this).onAsync("datasetRendered",this._onDatasetRendered,this),this.input=new 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g=n.dropdown.replace("%PREFIX%",a.cssClasses.prefix).replace("%DROPDOWN_MENU%",a.cssClasses.dropdownMenu);d=j.element(g).css(a.css.dropdown).attr({role:"listbox",id:a.listboxId}),a.templates&&a.templates.dropdownMenu&&d.html(i.templatify(a.templates.dropdownMenu)()),e=b.clone().css(a.css.hint).css(f(b)),e.val("").addClass(i.className(a.cssClasses.prefix,a.cssClasses.hint,!0)).removeAttr("id name placeholder required").prop("readonly",!0).attr({"aria-hidden":"true",autocomplete:"off",spellcheck:"false",tabindex:-1}),e.removeData&&e.removeData(),b.data(h,{"aria-autocomplete":b.attr("aria-autocomplete"),"aria-expanded":b.attr("aria-expanded"),"aria-owns":b.attr("aria-owns"),autocomplete:b.attr("autocomplete"),dir:b.attr("dir"),role:b.attr("role"),spellcheck:b.attr("spellcheck"),style:b.attr("style"),type:b.attr("type")}),b.addClass(i.className(a.cssClasses.prefix,a.cssClasses.input,!0)).attr({autocomplete:"off",spellcheck:!1,role:"combobox","aria-autocomplete":a.datasets&&a.datasets[0]&&a.datasets[0].displayKey?"both":"list","aria-expanded":"false","aria-label":a.ariaLabel,"aria-owns":a.listboxId}).css(a.hint?a.css.input:a.css.inputWithNoHint);try{b.attr("dir")||b.attr("dir","auto")}catch(a){}return c=a.appendTo?c.appendTo(j.element(a.appendTo).eq(0)).eq(0):b.wrap(c).parent(),c.prepend(a.hint?e:null).append(d),{wrapper:c,input:b,hint:e,menu:d}}function f(a){return{backgroundAttachment:a.css("background-attachment"),backgroundClip:a.css("background-clip"),backgroundColor:a.css("background-color"),backgroundImage:a.css("background-image"),backgroundOrigin:a.css("background-origin"),backgroundPosition:a.css("background-position"),backgroundRepeat:a.css("background-repeat"),backgroundSize:a.css("background-size")}}function g(a,b){var c=a.find(i.className(b.prefix,b.input));i.each(c.data(h),function(a,b){void 0===a?c.removeAttr(b):c.attr(b,a)}),c.detach().removeClass(i.className(b.prefix,b.input,!0)).insertAfter(a),c.removeData&&c.removeData(h),a.remove()}var h="aaAttrs",i=c(4),j=c(2),k=c(6),l=c(7),m=c(16),n=c(18),o=c(19);i.mixin(d.prototype,{_bindKeyboardShortcuts:function(a){if(a.keyboardShortcuts){var b=this.$input,c=[];i.each(a.keyboardShortcuts,function(a){"string"==typeof a&&(a=a.toUpperCase().charCodeAt(0)),c.push(a)}),j.element(document).keydown(function(a){var d=a.target||a.srcElement,e=d.tagName;if(!d.isContentEditable&&"INPUT"!==e&&"SELECT"!==e&&"TEXTAREA"!==e){var f=a.which||a.keyCode;c.indexOf(f)!==-1&&(b.focus(),a.stopPropagation(),a.preventDefault())}})}},_onSuggestionClicked:function(a,b){var c,d={selectionMethod:"click"};(c=this.dropdown.getDatumForSuggestion(b))&&this._select(c,d)},_onCursorMoved:function(a,b){var c=this.dropdown.getDatumForCursor(),d=this.dropdown.getCurrentCursor().attr("id");this.input.setActiveDescendant(d),c&&(b&&this.input.setInputValue(c.value,!0),this.eventBus.trigger("cursorchanged",c.raw,c.datasetName))},_onCursorRemoved:function(){this.input.resetInputValue(),this._updateHint(),this.eventBus.trigger("cursorremoved")},_onDatasetRendered:function(){this._updateHint(),this.eventBus.trigger("updated")},_onOpened:function(){this._updateHint(),this.input.expand(),this.eventBus.trigger("opened")},_onEmpty:function(){this.eventBus.trigger("empty")},_onRedrawn:function(){this.$node.css("top","0px"),this.$node.css("left","0px");var a=this.$input[0].getBoundingClientRect();this.autoWidth&&this.$node.css("width",a.width+"px");var b=this.$node[0].getBoundingClientRect(),c=a.bottom-b.top;this.$node.css("top",c+"px");var d=a.left-b.left;this.$node.css("left",d+"px"),this.eventBus.trigger("redrawn")},_onShown:function(){this.eventBus.trigger("shown"),this.autoselect&&this.dropdown.cursorTopSuggestion()},_onClosed:function(){this.input.clearHint(),this.input.removeActiveDescendant(),this.input.collapse(),this.eventBus.trigger("closed")},_onFocused:function(){if(this.isActivated=!0,this.openOnFocus){var a=this.input.getQuery();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty(),this.dropdown.open()}},_onBlurred:function(){var a,b;a=this.dropdown.getDatumForCursor(),b=this.dropdown.getDatumForTopSuggestion();var c={selectionMethod:"blur"};this.debug||(this.autoselectOnBlur&&a?this._select(a,c):this.autoselectOnBlur&&b?this._select(b,c):(this.isActivated=!1,this.dropdown.empty(),this.dropdown.close()))},_onEnterKeyed:function(a,b){var c,d;c=this.dropdown.getDatumForCursor(),d=this.dropdown.getDatumForTopSuggestion();var e={selectionMethod:"enterKey"};c?(this._select(c,e),b.preventDefault()):this.autoselect&&d&&(this._select(d,e),b.preventDefault())},_onTabKeyed:function(a,b){if(!this.tabAutocomplete)return void this.dropdown.close();var c,d={selectionMethod:"tabKey"};(c=this.dropdown.getDatumForCursor())?(this._select(c,d),b.preventDefault()):this._autocomplete(!0)},_onEscKeyed:function(){this.dropdown.close(),this.input.resetInputValue()},_onUpKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorUp(),this.dropdown.open()},_onDownKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorDown(),this.dropdown.open()},_onLeftKeyed:function(){"rtl"===this.dir&&this._autocomplete()},_onRightKeyed:function(){"ltr"===this.dir&&this._autocomplete()},_onQueryChanged:function(a,b){this.input.clearHintIfInvalid(),b.length>=this.minLength?this.dropdown.update(b):this.dropdown.empty(),this.dropdown.open(),this._setLanguageDirection()},_onWhitespaceChanged:function(){this._updateHint(),this.dropdown.open()},_setLanguageDirection:function(){var a=this.input.getLanguageDirection();this.dir!==a&&(this.dir=a,this.$node.css("direction",a),this.dropdown.setLanguageDirection(a))},_updateHint:function(){var a,b,c,d,e,f;a=this.dropdown.getDatumForTopSuggestion(),a&&this.dropdown.isVisible()&&!this.input.hasOverflow()?(b=this.input.getInputValue(),c=l.normalizeQuery(b),d=i.escapeRegExChars(c),e=new 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a=this.input.getInputValue();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty()}this.dropdown.open()},close:function(){this.dropdown.close()},setVal:function(a){a=i.toStr(a),this.isActivated?this.input.setInputValue(a):(this.input.setQuery(a),this.input.setInputValue(a,!0)),this._setLanguageDirection()},getVal:function(){return this.input.getQuery()},destroy:function(){this.input.destroy(),this.dropdown.destroy(),g(this.$node,this.cssClasses),this.$node=null},getWrapper:function(){return this.dropdown.$container[0]}}),d.Dropdown=m,d.Input=l,d.sources=c(20),a.exports=d},function(a,b,c){"use strict";function d(a){a&&a.el||e.error("EventBus initialized without el"),this.$el=f.element(a.el)}var e=c(4),f=c(2);e.mixin(d.prototype,{trigger:function(a,b,c,d){var f=e.Event("autocomplete:"+a);return this.$el.trigger(f,[b,c,d]),f}}),a.exports=d},function(a,b,c){"use strict";function d(a){var b,c,d,f,g=this;a=a||{},a.input||i.error("input is 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b=h[a.which||a.keyCode];this._managePreventDefault(b,a),b&&this._shouldTrigger(b,a)&&this.trigger(b+"Keyed",a)},_onInput:function(){this._checkInputValue()},_managePreventDefault:function(a,b){var c,d,e;switch(a){case"tab":d=this.getHint(),e=this.getInputValue(),c=d&&d!==e&&!g(b);break;case"up":case"down":c=!g(b);break;default:c=!1}c&&b.preventDefault()},_shouldTrigger:function(a,b){var c;switch(a){case"tab":c=!g(b);break;default:c=!0}return c},_checkInputValue:function(){var a,b,c;a=this.getInputValue(),b=f(a,this.query),c=!(!b||!this.query)&&this.query.length!==a.length,this.query=a,b?c&&this.trigger("whitespaceChanged",this.query):this.trigger("queryChanged",this.query)},focus:function(){this.$input.focus()},blur:function(){this.$input.blur()},getQuery:function(){return this.query},setQuery:function(a){this.query=a},getInputValue:function(){return this.$input.val()},setInputValue:function(a,b){void 0===a&&(a=this.query),this.$input.val(a),b?this.clearHint():this._checkInputValue()},expand:function(){this.$input.attr("aria-expanded","true")},collapse:function(){this.$input.attr("aria-expanded","false")},setActiveDescendant:function(a){this.$input.attr("aria-activedescendant",a)},removeActiveDescendant:function(){this.$input.removeAttr("aria-activedescendant")},resetInputValue:function(){this.setInputValue(this.query,!0)},getHint:function(){return this.$hint.val()},setHint:function(a){this.$hint.val(a)},clearHint:function(){this.setHint("")},clearHintIfInvalid:function(){var a,b,c,d;a=this.getInputValue(),b=this.getHint(),c=a!==b&&0===b.indexOf(a),(d=""!==a&&c&&!this.hasOverflow())||this.clearHint()},getLanguageDirection:function(){return(this.$input.css("direction")||"ltr").toLowerCase()},hasOverflow:function(){var a=this.$input.width()-2;return this.$overflowHelper.text(this.getInputValue()),this.$overflowHelper.width()>=a},isCursorAtEnd:function(){var a,b,c;return 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+var c=[].slice.call(arguments,1);this.cacheSuggestions(a,b,c),this._render.apply(this,[a,b].concat(c))}}if(this.query=a,this.canceled=!1,this.shouldFetchFromCache(a))b.apply(this,[this.cachedSuggestions].concat(this.cachedRenderExtraArgs));else{var c=this,d=function(){c.canceled||c.source(a,b.bind(c))};if(this.debounce){var e=function(){c.debounceTimeout=null,d()};clearTimeout(this.debounceTimeout),this.debounceTimeout=setTimeout(e,this.debounce)}else d()}},cacheSuggestions:function(a,b,c){this.cachedQuery=a,this.cachedSuggestions=b,this.cachedRenderExtraArgs=c},shouldFetchFromCache:function(a){return this.cache&&this.cachedQuery===a&&this.cachedSuggestions&&this.cachedSuggestions.length},clearCachedSuggestions:function(){delete this.cachedQuery,delete this.cachedSuggestions,delete this.cachedRenderExtraArgs},cancel:function(){this.canceled=!0},clear:function(){this.$el&&(this.cancel(),this.$el.empty(),this.trigger("rendered",""))},isEmpty:function(){return this._isEmpty},destroy:function(){this.clearCachedSuggestions(),this.$el=null}}),a.exports=d},function(a,b){"use strict";a.exports={wrapper:'<span class="%ROOT%"></span>',dropdown:'<span class="%PREFIX%%DROPDOWN_MENU%"></span>',dataset:'<div class="%PREFIX%%DATASET%-%CLASS%"></div>',suggestions:'<span class="%PREFIX%%SUGGESTIONS%"></span>',suggestion:'<div class="%PREFIX%%SUGGESTION%"></div>'}},function(a,b,c){"use strict";var d=c(4),e={wrapper:{position:"relative",display:"inline-block"},hint:{position:"absolute",top:"0",left:"0",borderColor:"transparent",boxShadow:"none",opacity:"1"},input:{position:"relative",verticalAlign:"top",backgroundColor:"transparent"},inputWithNoHint:{position:"relative",verticalAlign:"top"},dropdown:{position:"absolute",top:"100%",left:"0",zIndex:"100",display:"none"},suggestions:{display:"block"},suggestion:{whiteSpace:"nowrap",cursor:"pointer"},suggestionChild:{whiteSpace:"normal"},ltr:{left:"0",right:"auto"},rtl:{left:"auto",right:"0"},defaultClasses:{root:"algolia-autocomplete",prefix:"aa",noPrefix:!1,dropdownMenu:"dropdown-menu",input:"input",hint:"hint",suggestions:"suggestions",suggestion:"suggestion",cursor:"cursor",dataset:"dataset",empty:"empty"},appendTo:{wrapper:{position:"absolute",zIndex:"100",display:"none"},input:{},inputWithNoHint:{},dropdown:{display:"block"}}};d.isMsie()&&d.mixin(e.input,{backgroundImage:"url(data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)"}),d.isMsie()&&d.isMsie()<=7&&d.mixin(e.input,{marginTop:"-1px"}),a.exports=e},function(a,b,c){"use strict";a.exports={hits:c(21),popularIn:c(24)}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23),g=function(){function a(a,d){return window.Promise.resolve().then(function(){return b.length&&(e=a.search(b),b=[]),e}).then(function(a){if(a)return c=a.results,c[d]})}var b=[],c=[],e=window.Promise.resolve();return function(c,e){return function(f,g){a(c.as,b.push({indexName:c.indexName,query:f,params:e})-1).then(function(a){a&&g(a.hits,a)}).catch(function(a){d.error(a.message)})}}}();a.exports=function(a,b){var c=f(a.as._ua);if(c&&c[0]>=3&&c[1]>20){var d="autocomplete.js "+e;a.as._ua.indexOf(d)===-1&&(a.as._ua+="; "+d)}return g(a,b)}},function(a,b){a.exports="0.38.0"},function(a,b){"use strict";a.exports=function(a){var b=a.match(/Algolia for JavaScript \((\d+\.)(\d+\.)(\d+)\)/)||a.match(/Algolia for vanilla JavaScript (\d+\.)(\d+\.)(\d+)/);if(b)return[b[1],b[2],b[3]]}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23);a.exports=function(a,b,c,g){function h(h,i){a.search(h,b,function(a,h){if(a)return void d.error(a.message);if(h.hits.length>0){var l=h.hits[0],m=d.mixin({hitsPerPage:0},c);delete m.source,delete m.index;var n=f(k.as._ua);return n&&n[0]>=3&&n[1]>20&&(b.additionalUA="autocomplete.js "+e),void k.search(j(l),m,function(a,b){if(a)return void d.error(a.message);var c=[];if(g.includeAll){var e=g.allTitle||"All departments";c.push(d.mixin({facet:{value:e,count:b.nbHits}},d.cloneDeep(l)))}d.each(b.facets,function(a,b){d.each(a,function(a,e){c.push(d.mixin({facet:{facet:b,value:e,count:a}},d.cloneDeep(l)))})});for(var f=1;f<h.hits.length;++f)c.push(h.hits[f]);i(c,h)})}i([])})}var i=f(a.as._ua);if(i&&i[0]>=3&&i[1]>20&&(b=b||{},b.additionalUA="autocomplete.js "+e),!c.source)return d.error("Missing 'source' key");var j=d.isFunction(c.source)?c.source:function(a){return a[c.source]};if(!c.index)return d.error("Missing 'index' key");var k=c.index;return g=g||{},h}}]);
\ No newline at end of file
diff --git a/deps/search-1.0.0/fuse.min.js b/deps/search-1.0.0/fuse.min.js
new file mode 100644
index 0000000..7def598
--- /dev/null
+++ b/deps/search-1.0.0/fuse.min.js
@@ -0,0 +1,9 @@
+/**
+ * Fuse.js v6.4.6 - Lightweight fuzzy-search (http://fusejs.io)
+ *
+ * Copyright (c) 2021 Kiro Risk (http://kiro.me)
+ * All Rights Reserved. Apache Software License 2.0
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+var e,t;e=this,t=function(){"use strict";function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(t)}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function n(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}function r(e,t,r){return t&&n(e.prototype,t),r&&n(e,r),e}function i(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function o(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function c(e){for(var t=1;t<arguments.length;t++){var 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c=t.searchIn(n),a=c.isMatch,s=c.score,u=c.indices;a&&r.push({item:n,idx:i,matches:[{score:s,value:n,norm:o,indices:u}]})}})),r}},{key:"_searchLogical",value:function(e){var t=this,n=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=n.auto,i=void 0===r||r,o=function e(n){var r=Object.keys(n),o=ae(n);if(!o&&r.length>1&&!ce(n))return e(ue(n));if(se(n)){var c=o?n[ie]:r[0],a=o?n[oe]:n[c];if(!g(a))throw new Error(x(c));var s={keyId:j(c),pattern:a};return i&&(s.searcher=te(a,t)),s}var u={children:[],operator:r[0]};return r.forEach((function(t){var r=n[t];v(r)&&r.forEach((function(t){u.children.push(e(t))}))})),u};return ce(e)||(e=ue(e)),o(e)}(e,this.options),r=this._myIndex.records,i={},o=[];return r.forEach((function(e){var r=e.$,c=e.i;if(k(r)){var a=function e(n,r,i){if(!n.children){var o=n.keyId,c=n.searcher,a=t._findMatches({key:t._keyStore.get(o),value:t._myIndex.getValueForItemAtKeyId(r,o),searcher:c});return a&&a.length?[{idx:i,item:r,matches:a}]:[]}switch(n.operator){case ne:for(var s=[],u=0,h=n.children.length;u<h;u+=1){var f=e(n.children[u],r,i);if(!f.length)return[];s.push.apply(s,l(f))}return s;case re:for(var d=[],v=0,g=n.children.length;v<g;v+=1){var y=e(n.children[v],r,i);if(y.length){d.push.apply(d,l(y));break}}return d}}(n,r,c);a.length&&(i[c]||(i[c]={idx:c,item:r,matches:[]},o.push(i[c])),a.forEach((function(e){var t,n=e.matches;(t=i[c].matches).push.apply(t,l(n))})))}})),o}},{key:"_searchObjectList",value:function(e){var t=this,n=te(e,this.options),r=this._myIndex,i=r.keys,o=r.records,c=[];return o.forEach((function(e){var r=e.$,o=e.i;if(k(r)){var a=[];i.forEach((function(e,i){a.push.apply(a,l(t._findMatches({key:e,value:r[i],searcher:n})))})),a.length&&c.push({idx:o,item:r,matches:a})}})),c}},{key:"_findMatches",value:function(e){var t=e.key,n=e.value,r=e.searcher;if(!k(n))return[];var i=[];if(v(n))n.forEach((function(e){var n=e.v,o=e.i,c=e.n;if(k(n)){var a=r.searchIn(n),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:n,idx:o,norm:c,indices:h})}}));else{var o=n.v,c=n.n,a=r.searchIn(o),s=a.isMatch,u=a.score,h=a.indices;s&&i.push({score:u,key:t,value:o,norm:c,indices:h})}return i}}]),e}();return ve.version="6.4.6",ve.createIndex=$,ve.parseIndex=function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},n=t.getFn,r=void 0===n?A.getFn:n,i=e.keys,o=e.records,c=new E({getFn:r});return c.setKeys(i),c.setIndexRecords(o),c},ve.config=A,function(){ee.push.apply(ee,arguments)}(Z),ve},"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e=e||self).Fuse=t();
\ No newline at end of file
diff --git a/deps/search-1.0.0/mark.min.js b/deps/search-1.0.0/mark.min.js
new file mode 100644
index 0000000..1eea053
--- /dev/null
+++ b/deps/search-1.0.0/mark.min.js
@@ -0,0 +1,7 @@
+/*!***************************************************
+* mark.js v8.11.1
+* https://markjs.io/
+* Copyright (c) 2014–2018, Julian Kühnel
+* Released under the MIT license https://git.io/vwTVl
+*****************************************************/
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){"use strict";var e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")},n=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}(),r=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},i=function(){function e(n){var r=!(arguments.length>1&&void 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t=e.getAttribute("src").trim();return"about:blank"===e.contentWindow.location.href&&"about:blank"!==t&&t}},{key:"observeIframeLoad",value:function(e,t,n){var r=this,i=!1,o=null,a=function a(){if(!i){i=!0,clearTimeout(o);try{r.isIframeBlank(e)||(e.removeEventListener("load",a),r.getIframeContents(e,t,n))}catch(e){n()}}};e.addEventListener("load",a),o=setTimeout(a,this.iframesTimeout)}},{key:"onIframeReady",value:function(e,t,n){try{"complete"===e.contentWindow.document.readyState?this.isIframeBlank(e)?this.observeIframeLoad(e,t,n):this.getIframeContents(e,t,n):this.observeIframeLoad(e,t,n)}catch(e){n()}}},{key:"waitForIframes",value:function(e,t){var n=this,r=0;this.forEachIframe(e,function(){return!0},function(e){r++,n.waitForIframes(e.querySelector("html"),function(){--r||t()})},function(e){e||t()})}},{key:"forEachIframe",value:function(t,n,r){var i=this,o=arguments.length>3&&void 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0!==arguments[3]?arguments[3]:function(){},o=this.getContexts(),a=o.length;a||i(),o.forEach(function(o){var s=function(){r.iterateThroughNodes(e,o,t,n,function(){--a<=0&&i()})};r.iframes?r.waitForIframes(o,s):s()})}}],[{key:"matches",value:function(e,t){var n="string"==typeof t?[t]:t,r=e.matches||e.matchesSelector||e.msMatchesSelector||e.mozMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector;if(r){var i=!1;return n.every(function(t){return!r.call(e,t)||(i=!0,!1)}),i}return!1}}]),e}(),o=function(){function o(e){t(this,o),this.ctx=e,this.ie=!1;var n=window.navigator.userAgent;(n.indexOf("MSIE")>-1||n.indexOf("Trident")>-1)&&(this.ie=!0)}return n(o,[{key:"log",value:function(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"debug",r=this.opt.log;this.opt.debug&&"object"===(void 0===r?"undefined":e(r))&&"function"==typeof r[n]&&r[n]("mark.js: "+t)}},{key:"escapeStr",value:function(e){return e.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g,"\\$&")}},{key:"createRegExp",value:function(e){return"disabled"!==this.opt.wildcards&&(e=this.setupWildcardsRegExp(e)),e=this.escapeStr(e),Object.keys(this.opt.synonyms).length&&(e=this.createSynonymsRegExp(e)),(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.setupIgnoreJoinersRegExp(e)),this.opt.diacritics&&(e=this.createDiacriticsRegExp(e)),e=this.createMergedBlanksRegExp(e),(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.createJoinersRegExp(e)),"disabled"!==this.opt.wildcards&&(e=this.createWildcardsRegExp(e)),e=this.createAccuracyRegExp(e)}},{key:"createSynonymsRegExp",value:function(e){var t=this.opt.synonyms,n=this.opt.caseSensitive?"":"i",r=this.opt.ignoreJoiners||this.opt.ignorePunctuation.length?"\0":"";for(var i in t)if(t.hasOwnProperty(i)){var o=t[i],a="disabled"!==this.opt.wildcards?this.setupWildcardsRegExp(i):this.escapeStr(i),s="disabled"!==this.opt.wildcards?this.setupWildcardsRegExp(o):this.escapeStr(o);""!==a&&""!==s&&(e=e.replace(new RegExp("("+this.escapeStr(a)+"|"+this.escapeStr(s)+")","gm"+n),r+"("+this.processSynomyms(a)+"|"+this.processSynomyms(s)+")"+r))}return e}},{key:"processSynomyms",value:function(e){return(this.opt.ignoreJoiners||this.opt.ignorePunctuation.length)&&(e=this.setupIgnoreJoinersRegExp(e)),e}},{key:"setupWildcardsRegExp",value:function(e){return(e=e.replace(/(?:\\)*\?/g,function(e){return"\\"===e.charAt(0)?"?":"
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diff --git a/index.html b/index.html
index 51d47a8..854cd96 100644
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-<meta name="description" content="HybridExpress can be used to perform comparative transcriptomics
-    analysis of hybrids (or allopolyploids) relative to their
-    progenitor species. The package features functions to perform exploratory
-    analyses of sample grouping, identify differentially expressed genes
-    in hybrids relative to their progenitors, classify genes in expression
-    categories (N = 12) and classes (N = 5),
-    and perform functional analyses. We also provide users with graphical
-    functions for the seamless creation of publication-ready figures that are
-    commonly used in the literature.">
 <title>Comparative analysis of RNA-seq data for hybrids and their progenitors • HybridExpress</title>
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-<meta property="og:description" content="HybridExpress can be used to perform comparative transcriptomics
-    analysis of hybrids (or allopolyploids) relative to their
-    progenitor species. The package features functions to perform exploratory
-    analyses of sample grouping, identify differentially expressed genes
-    in hybrids relative to their progenitors, classify genes in expression
-    categories (N = 12) and classes (N = 5),
-    and perform functional analyses. We also provide users with graphical
-    functions for the seamless creation of publication-ready figures that are
-    commonly used in the literature.">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet">
+<link href="deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet">
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+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
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+<meta name="description" content="HybridExpress can be used to perform comparative transcriptomics analysis of hybrids (or allopolyploids) relative to their progenitor species. The package features functions to perform exploratory analyses of sample grouping, identify differentially expressed genes in hybrids relative to their progenitors, classify genes in expression categories (N = 12) and classes (N = 5), and perform functional analyses. We also provide users with graphical functions for the seamless creation of publication-ready figures that are commonly used in the literature.">
+<meta property="og:description" content="HybridExpress can be used to perform comparative transcriptomics analysis of hybrids (or allopolyploids) relative to their progenitor species. The package features functions to perform exploratory analyses of sample grouping, identify differentially expressed genes in hybrids relative to their progenitors, classify genes in expression categories (N = 12) and classes (N = 5), and perform functional analyses. We also provide users with graphical functions for the seamless creation of publication-ready figures that are commonly used in the literature.">
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-    
 
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">HybridExpress</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.1.1</small>
+
 
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+<li class="nav-item"><a class="nav-link" href="articles/HybridExpress.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
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-<form class="form-inline my-2 my-lg-0" role="search">
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+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
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@@ -132,7 +94,7 @@ <h2 id="citation">Citation<a class="anchor" aria-label="anchor" href="#citation"
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt;   Almeida-Silva F, Prost-Boxoen L, Van de Peer Y (2023).</span></span>
 <span><span class="co">#&gt;   _HybridExpress: Comparative analysis of RNA-seq data for hybrids and</span></span>
-<span><span class="co">#&gt;   their progenitors_. R package version 0.99.0,</span></span>
+<span><span class="co">#&gt;   their progenitors_. R package version 1.1.1,</span></span>
 <span><span class="co">#&gt;   &lt;https://github.com/almeidasilvaf/HybridExpress&gt;.</span></span>
 <span><span class="co">#&gt; </span></span>
 <span><span class="co">#&gt; A BibTeX entry for LaTeX users is</span></span>
@@ -141,7 +103,7 @@ <h2 id="citation">Citation<a class="anchor" aria-label="anchor" href="#citation"
 <span><span class="co">#&gt;     title = {HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors},</span></span>
 <span><span class="co">#&gt;     author = {Fabricio Almeida-Silva and Lucas Prost-Boxoen and Yves {Van de Peer}},</span></span>
 <span><span class="co">#&gt;     year = {2023},</span></span>
-<span><span class="co">#&gt;     note = {R package version 0.99.0},</span></span>
+<span><span class="co">#&gt;     note = {R package version 1.1.1},</span></span>
 <span><span class="co">#&gt;     url = {https://github.com/almeidasilvaf/HybridExpress},</span></span>
 <span><span class="co">#&gt;   }</span></span></code></pre></div>
 <p>Please note that the <code>HybridExpress</code> was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.</p>
@@ -155,17 +117,18 @@ <h2 id="code-of-conduct">Code of Conduct<a class="anchor" aria-label="anchor" hr
 <h2 id="development-tools">Development tools<a class="anchor" aria-label="anchor" href="#development-tools"></a>
 </h2>
 <ul>
-<li>Continuous code testing is possible thanks to <a href="https://www.tidyverse.org/blog/2020/04/usethis-1-6-0/" class="external-link">GitHub actions</a> through <em><a href="https://CRAN.R-project.org/package=usethis" class="external-link">usethis</a></em>, <em><a href="https://CRAN.R-project.org/package=remotes" class="external-link">remotes</a></em>, and <em><a href="https://CRAN.R-project.org/package=rcmdcheck" class="external-link">rcmdcheck</a></em> customized to use <a href="https://www.bioconductor.org/help/docker/" class="external-link">Bioconductor’s docker containers</a> and <em><a href="https://bioconductor.org/packages/3.19/BiocCheck" class="external-link">BiocCheck</a></em>.</li>
+<li>Continuous code testing is possible thanks to <a href="https://www.tidyverse.org/blog/2020/04/usethis-1-6-0/" class="external-link">GitHub actions</a> through <em><a href="https://CRAN.R-project.org/package=usethis" class="external-link">usethis</a></em>, <em><a href="https://CRAN.R-project.org/package=remotes" class="external-link">remotes</a></em>, and <em><a href="https://CRAN.R-project.org/package=rcmdcheck" class="external-link">rcmdcheck</a></em> customized to use <a href="https://www.bioconductor.org/help/docker/" class="external-link">Bioconductor’s docker containers</a> and <em><a href="https://bioconductor.org/packages/3.20/BiocCheck" class="external-link">BiocCheck</a></em>.</li>
 <li>Code coverage assessment is possible thanks to <a href="https://codecov.io/gh" class="external-link">codecov</a> and <em><a href="https://CRAN.R-project.org/package=covr" class="external-link">covr</a></em>.</li>
 <li>The <a href="http://almeidasilvaf.github.io/HybridExpress" class="external-link">documentation website</a> is automatically updated thanks to <em><a href="https://CRAN.R-project.org/package=pkgdown" class="external-link">pkgdown</a></em>.</li>
 <li>The documentation is formatted thanks to <em><a href="https://CRAN.R-project.org/package=devtools" class="external-link">devtools</a></em> and <em><a href="https://CRAN.R-project.org/package=roxygen2" class="external-link">roxygen2</a></em>.</li>
 </ul>
-<p>This package was developed using <em><a href="https://bioconductor.org/packages/3.19/biocthis" class="external-link">biocthis</a></em>.</p>
+<p>This package was developed using <em><a href="https://bioconductor.org/packages/3.20/biocthis" class="external-link">biocthis</a></em>.</p>
 </div>
 </div>
   </main><aside class="col-md-3"><div class="links">
 <h2 data-toc-skip>Links</h2>
 <ul class="list-unstyled">
+<li><a href="https://www.bioconductor.org/packages/HybridExpress" class="external-link">View on Bioconductor</a></li>
 <li><a href="https://github.com/almeidasilvaf/HybridExpress/" class="external-link">Browse source code</a></li>
 <li><a href="https://support.bioconductor.org/tag/HybridExpress" class="external-link">Report a bug</a></li>
 </ul>
@@ -217,21 +180,19 @@ <h2 data-toc-skip>Dev status</h2>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer>
 </div>
 
-  
 
-  
+
+
 
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diff --git a/katex-auto.js b/katex-auto.js
new file mode 100644
index 0000000..20651d9
--- /dev/null
+++ b/katex-auto.js
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+document.addEventListener("DOMContentLoaded", function () {
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+    }}});
diff --git a/lightswitch.js b/lightswitch.js
new file mode 100644
index 0000000..9467125
--- /dev/null
+++ b/lightswitch.js
@@ -0,0 +1,85 @@
+
+/*!
+ * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under the Creative Commons Attribution 3.0 Unported License.
+ * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0.
+ */
+
+const getStoredTheme = () => localStorage.getItem('theme')
+const setStoredTheme = theme => localStorage.setItem('theme', theme)
+
+const getPreferredTheme = () => {
+  const storedTheme = getStoredTheme()
+  if (storedTheme) {
+    return storedTheme
+  }
+
+  return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'
+}
+
+const setTheme = theme => {
+  if (theme === 'auto') {
+    document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'))
+  } else {
+    document.documentElement.setAttribute('data-bs-theme', theme)
+  }
+}
+
+function bsSetupThemeToggle () {
+  'use strict'
+
+  const showActiveTheme = (theme, focus = false) => {
+    var activeLabel, activeIcon;
+
+    document.querySelectorAll('[data-bs-theme-value]').forEach(element => {
+      const buttonTheme = element.getAttribute('data-bs-theme-value')
+      const isActive = buttonTheme == theme
+      
+      element.classList.toggle('active', isActive)
+      element.setAttribute('aria-pressed', isActive)
+
+      if (isActive) {
+        activeLabel = element.textContent;
+        activeIcon = element.querySelector('span').classList.value;
+      }
+    })
+
+    const themeSwitcher = document.querySelector('#dropdown-lightswitch')
+    if (!themeSwitcher) {
+      return
+    }
+
+    themeSwitcher.setAttribute('aria-label', activeLabel)
+    themeSwitcher.querySelector('span').classList.value = activeIcon;
+
+    if (focus) {
+      themeSwitcher.focus()
+    }
+  }
+
+  window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
+    const storedTheme = getStoredTheme()
+    if (storedTheme !== 'light' && storedTheme !== 'dark') {
+      setTheme(getPreferredTheme())
+    }
+  })
+
+  window.addEventListener('DOMContentLoaded', () => {
+    showActiveTheme(getPreferredTheme())
+
+    document
+      .querySelectorAll('[data-bs-theme-value]')
+      .forEach(toggle => {
+        toggle.addEventListener('click', () => {
+          const theme = toggle.getAttribute('data-bs-theme-value')
+          setTheme(theme)
+          setStoredTheme(theme)
+          showActiveTheme(theme, true)
+        })
+      })
+  })
+}
+
+setTheme(getPreferredTheme());
+bsSetupThemeToggle();
diff --git a/news/index.html b/news/index.html
index 7acf37c..e6cd6cb 100644
--- a/news/index.html
+++ b/news/index.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • HybridExpress</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">HybridExpress</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.1.1</small>
+
 
-    
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
       <span class="navbar-toggler-icon"></span>
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../articles/HybridExpress.html">Get started</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/HybridExpress.html">Get started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-news">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Changelog</h1>
-      <small>Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
+      <small>Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
     <div class="section level2">
@@ -56,18 +41,18 @@ <h2 class="pkg-version" data-toc-text="0.99.0" id="hybridexpress-0990">HybridExp
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/pkgdown.js b/pkgdown.js
index 5fccd9c..9757bf9 100644
--- a/pkgdown.js
+++ b/pkgdown.js
@@ -30,10 +30,10 @@
   /* Clipboard --------------------------*/
 
   function changeTooltipMessage(element, msg) {
-    var tooltipOriginalTitle=element.getAttribute('data-original-title');
-    element.setAttribute('data-original-title', msg);
+    var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
+    element.setAttribute('data-bs-original-title', msg);
     $(element).tooltip('show');
-    element.setAttribute('data-original-title', tooltipOriginalTitle);
+    element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
   }
 
   if(ClipboardJS.isSupported()) {
@@ -60,7 +60,7 @@
         e.clearSelection();
       });
 
-      clipboard.on('error', function() {
+      clipboard.on('error', function(e) {
         changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
       });
 
@@ -152,5 +152,3 @@ async function searchFuse(query, callback) {
   });
   });
 })(window.jQuery || window.$)
-
-
diff --git a/pkgdown.yml b/pkgdown.yml
index 10572aa..4c68e9c 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,7 +1,6 @@
-pandoc: 3.1.1
-pkgdown: 2.0.7
+pandoc: '3.3'
+pkgdown: 2.1.0
 pkgdown_sha: ~
 articles:
   HybridExpress: HybridExpress.html
-last_built: 2024-02-23T11:11Z
-
+last_built: 2024-09-05T06:26Z
diff --git a/reference/HybridExpress-package.html b/reference/HybridExpress-package.html
index f8ae50e..1816655 100644
--- a/reference/HybridExpress-package.html
+++ b/reference/HybridExpress-package.html
@@ -1,52 +1,37 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
-HybridExpress can be used to perform comparative transcriptomics analysis of hybrids (or allopolyploids) relative to their progenitor species. The package features functions to perform exploratory analyses of sample grouping, identify differentially expressed genes in hybrids relative to their progenitors, classify genes in expression categories (N = 12) and classes (N = 5), and perform functional analyses. We also provide users with graphical functions for the seamless creation of publication-ready figures that are commonly used in the literature."><title>HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package"><meta property="og:description" content="
-HybridExpress can be used to perform comparative transcriptomics analysis of hybrids (or allopolyploids) relative to their progenitor species. The package features functions to perform exploratory analyses of sample grouping, identify differentially expressed genes in hybrids relative to their progenitors, classify genes in expression categories (N = 12) and classes (N = 5), and perform functional analyses. We also provide users with graphical functions for the seamless creation of publication-ready figures that are commonly used in the literature."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package • HybridExpress</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package"><meta name="description" content="
+HybridExpress can be used to perform comparative transcriptomics analysis of hybrids (or allopolyploids) relative to their progenitor species. The package features functions to perform exploratory analyses of sample grouping, identify differentially expressed genes in hybrids relative to their progenitors, classify genes in expression categories (N = 12) and classes (N = 5), and perform functional analyses. We also provide users with graphical functions for the seamless creation of publication-ready figures that are commonly used in the literature."><meta property="og:description" content="
+HybridExpress can be used to perform comparative transcriptomics analysis of hybrids (or allopolyploids) relative to their progenitor species. The package features functions to perform exploratory analyses of sample grouping, identify differentially expressed genes in hybrids relative to their progenitors, classify genes in expression categories (N = 12) and classes (N = 5), and perform functional analyses. We also provide users with graphical functions for the seamless creation of publication-ready figures that are commonly used in the literature."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">HybridExpress</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.1.1</small>
+
 
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       <img src="../logo.png" class="logo" alt=""><h1>HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/HybridExpress-package.R" class="external-link"><code>R/HybridExpress-package.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/HybridExpress-package.R" class="external-link"><code>R/HybridExpress-package.R</code></a></small>
       <div class="d-none name"><code>HybridExpress-package.Rd</code></div>
     </div>
 
@@ -69,23 +54,23 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 <li><p>Yves Van de Peer <a href="mailto:yves.vandepeer@psb.vib-ugent.be">yves.vandepeer@psb.vib-ugent.be</a> (<a href="https://orcid.org/0000-0003-4327-3730" class="external-link">ORCID</a>)</p></li>
 </ul></div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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     <footer><div class="pkgdown-footer-left">
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 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/add_midparent_expression.html b/reference/add_midparent_expression.html
index aab3a8e..c3b89c9 100644
--- a/reference/add_midparent_expression.html
+++ b/reference/add_midparent_expression.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Add midparent expression to SummarizedExperiment object"><title>Add midparent expression to SummarizedExperiment object — add_midparent_expression • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Add midparent expression to SummarizedExperiment object — add_midparent_expression"><meta property="og:description" content="Add midparent expression to SummarizedExperiment object"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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       <img src="../logo.png" class="logo" alt=""><h1>Add midparent expression to <code>SummarizedExperiment</code> object</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/01_data_processing.R" class="external-link"><code>R/01_data_processing.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/01_data_processing.R" class="external-link"><code>R/01_data_processing.R</code></a></small>
       <div class="d-none name"><code>add_midparent_expression.Rd</code></div>
     </div>
 
@@ -66,33 +51,35 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>se</dt>
+
+
+<dl><dt id="arg-se">se<a class="anchor" aria-label="anchor" href="#arg-se"></a></dt>
 <dd><p>A <code>SummarizedExperiment</code> object with a count matrix and sample
 metadata.</p></dd>
 
 
-<dt>coldata_column</dt>
+<dt id="arg-coldata-column">coldata_column<a class="anchor" aria-label="anchor" href="#arg-coldata-column"></a></dt>
 <dd><p>Character indicating the name of column
 in <code>colData(se)</code> where information on the generation are stored.
 Default: "Generation".</p></dd>
 
 
-<dt>parent1</dt>
+<dt id="arg-parent-">parent1<a class="anchor" aria-label="anchor" href="#arg-parent-"></a></dt>
 <dd><p>Character indicating which level of the
 variable <strong>coldata_column</strong> represents parent 1. Default: "P1".</p></dd>
 
 
-<dt>parent2</dt>
+<dt id="arg-parent-">parent2<a class="anchor" aria-label="anchor" href="#arg-parent-"></a></dt>
 <dd><p>Character indicating which level of the
 variable <strong>coldata_column</strong> represents parent 2. Default: "P2".</p></dd>
 
 
-<dt>method</dt>
+<dt id="arg-method">method<a class="anchor" aria-label="anchor" href="#arg-method"></a></dt>
 <dd><p>Character indicating the method to use to create midparent
 values. One of 'mean' (default), 'sum', or 'weightedmean'.</p></dd>
 
 
-<dt>weights</dt>
+<dt id="arg-weights">weights<a class="anchor" aria-label="anchor" href="#arg-weights"></a></dt>
 <dd><p>Numeric vector of length 2 indicating the weights to give
 to parents 1 and 2 (respectively) if <code>method == "weightedmean"</code>.
 Setting <code>method == "weightedmean"</code> is used sometimes when parents have
@@ -102,9 +89,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A <code>SummarizedExperiment</code> object.</p>
+    <p>A <code>SummarizedExperiment</code> object.</p>
     </div>
 
     <div class="section level2">
@@ -113,23 +98,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">new_se</span> <span class="op">&lt;-</span> <span class="fu">add_midparent_expression</span><span class="op">(</span><span class="va">se_chlamy</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/add_size_factors.html b/reference/add_size_factors.html
index c1eb1a4..79157da 100644
--- a/reference/add_size_factors.html
+++ b/reference/add_size_factors.html
@@ -1,50 +1,35 @@
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       <img src="../logo.png" class="logo" alt=""><h1>Add size factors to normalize count data by library size or by biomass</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/01_data_processing.R" class="external-link"><code>R/01_data_processing.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/01_data_processing.R" class="external-link"><code>R/01_data_processing.R</code></a></small>
       <div class="d-none name"><code>add_size_factors.Rd</code></div>
     </div>
 
@@ -59,18 +44,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>se</dt>
+
+
+<dl><dt id="arg-se">se<a class="anchor" aria-label="anchor" href="#arg-se"></a></dt>
 <dd><p>A <code>SummarizedExperiment</code> object with a count matrix and sample
 metadata.</p></dd>
 
 
-<dt>spikein</dt>
+<dt id="arg-spikein">spikein<a class="anchor" aria-label="anchor" href="#arg-spikein"></a></dt>
 <dd><p>Logical indicating whether or not to normalize data
 using spike-ins. If FALSE, data will be normalized by library size.
 Default: FALSE.</p></dd>
 
 
-<dt>spikein_pattern</dt>
+<dt id="arg-spikein-pattern">spikein_pattern<a class="anchor" aria-label="anchor" href="#arg-spikein-pattern"></a></dt>
 <dd><p>Character with the pattern (regex) to use
 to identify spike-in features in the count matrix. Only valid
 if <code>spikein_norm = TRUE</code>.</p></dd>
@@ -78,9 +65,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A <code>SummarizedExperiment</code> object as in <strong>se</strong>, but with an extra
+    <p>A <code>SummarizedExperiment</code> object as in <strong>se</strong>, but with an extra
 column in the colData slot named "sizeFactor". This column contains size
 factors that will be used by DESeq2 when performing differential expression
 analyses.</p>
@@ -92,23 +77,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">se_norm</span> <span class="op">&lt;-</span> <span class="fu">add_size_factors</span><span class="op">(</span><span class="va">se_chlamy</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/deg_counts.html b/reference/deg_counts.html
index 15a444c..b268f06 100644
--- a/reference/deg_counts.html
+++ b/reference/deg_counts.html
@@ -1,52 +1,37 @@
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-data set deg_list."><title>Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts"><meta property="og:description" content="This object was obtained with get_deg_counts() using the example
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       <img src="../logo.png" class="logo" alt=""><h1>Data frame with frequencies (absolute and relative) of DEGs per contrast</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/data.R" class="external-link"><code>R/data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/data.R" class="external-link"><code>R/data.R</code></a></small>
       <div class="d-none name"><code>deg_counts.Rd</code></div>
     </div>
 
@@ -73,23 +58,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">deg_counts</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/deg_list.html b/reference/deg_list.html
index 5cdf2cd..a34599e 100644
--- a/reference/deg_list.html
+++ b/reference/deg_list.html
@@ -1,52 +1,37 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="This object was obtained with get_deg_list() using the example
-data set se_chlamy."><title>List of differentially expressed genes for all contrasts — deg_list • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="List of differentially expressed genes for all contrasts — deg_list"><meta property="og:description" content="This object was obtained with get_deg_list() using the example
-data set se_chlamy."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+data set se_chlamy."><meta property="og:description" content="This object was obtained with get_deg_list() using the example
+data set se_chlamy."><meta property="og:image" content="/logo.png"></head><body>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
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       <img src="../logo.png" class="logo" alt=""><h1>List of differentially expressed genes for all contrasts</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/data.R" class="external-link"><code>R/data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/data.R" class="external-link"><code>R/data.R</code></a></small>
       <div class="d-none name"><code>deg_list.Rd</code></div>
     </div>
 
@@ -74,23 +59,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">deg_list</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
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diff --git a/reference/expression_partitioning.html b/reference/expression_partitioning.html
index 717f75a..9f2c9fb 100644
--- a/reference/expression_partitioning.html
+++ b/reference/expression_partitioning.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Partition genes in groups based on their expression patterns"><title>Partition genes in groups based on their expression patterns — expression_partitioning • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Partition genes in groups based on their expression patterns — expression_partitioning"><meta property="og:description" content="Partition genes in groups based on their expression patterns"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Partition genes in groups based on their expression patterns</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/03_expression_partitioning.R" class="external-link"><code>R/03_expression_partitioning.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/03_expression_partitioning.R" class="external-link"><code>R/03_expression_partitioning.R</code></a></small>
       <div class="d-none name"><code>expression_partitioning.Rd</code></div>
     </div>
 
@@ -59,16 +44,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>deg_list</dt>
+
+
+<dl><dt id="arg-deg-list">deg_list<a class="anchor" aria-label="anchor" href="#arg-deg-list"></a></dt>
 <dd><p>A list of data frames with gene-wise test statistics for
 differentially expressed genes as returned by <code><a href="get_deg_list.html">get_deg_list()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A data with the following variables:</p><dl><dt>Gene</dt>
+    <p>A data with the following variables:</p><dl><dt>Gene</dt>
 <dd><p>Character, gene ID.</p></dd>
 
 <dt>Category</dt>
@@ -91,23 +76,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">exp_partitions</span> <span class="op">&lt;-</span> <span class="fu">expression_partitioning</span><span class="op">(</span><span class="va">deg_list</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
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diff --git a/reference/get_deg_counts.html b/reference/get_deg_counts.html
index 37ffe89..4a8312b 100644
--- a/reference/get_deg_counts.html
+++ b/reference/get_deg_counts.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get a count table of differentially expressed genes per contrast"><title>Get a count table of differentially expressed genes per contrast — get_deg_counts • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get a count table of differentially expressed genes per contrast — get_deg_counts"><meta property="og:description" content="Get a count table of differentially expressed genes per contrast"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Get a count table of differentially expressed genes per contrast</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/02_de_analyses.R" class="external-link"><code>R/02_de_analyses.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/02_de_analyses.R" class="external-link"><code>R/02_de_analyses.R</code></a></small>
       <div class="d-none name"><code>get_deg_counts.Rd</code></div>
     </div>
 
@@ -59,16 +44,16 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>deg_list</dt>
+
+
+<dl><dt id="arg-deg-list">deg_list<a class="anchor" aria-label="anchor" href="#arg-deg-list"></a></dt>
 <dd><p>A list of data frames with gene-wise test statistics for
 differentially expressed genes as returned by <code><a href="get_deg_list.html">get_deg_list()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A data frame with the following variables:</p><dl><dt>contrast</dt>
+    <p>A data frame with the following variables:</p><dl><dt>contrast</dt>
 <dd><p>Character, contrast name.</p></dd>
 
 <dt>up</dt>
@@ -98,23 +83,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">deg_counts</span> <span class="op">&lt;-</span> <span class="fu">get_deg_counts</span><span class="op">(</span><span class="va">deg_list</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/get_deg_list.html b/reference/get_deg_list.html
index 2a4b94a..1c03947 100644
--- a/reference/get_deg_list.html
+++ b/reference/get_deg_list.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Get a table of differential expression expression statistics with DESeq2"><title>Get a table of differential expression expression statistics with DESeq2 — get_deg_list • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get a table of differential expression expression statistics with DESeq2 — get_deg_list"><meta property="og:description" content="Get a table of differential expression expression statistics with DESeq2"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-  <a class="nav-link" href="../articles/HybridExpress.html">Get started</a>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="github">
-    <span class="fab fa fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/HybridExpress.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Get a table of differential expression expression statistics with <strong>DESeq2</strong></h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/02_de_analyses.R" class="external-link"><code>R/02_de_analyses.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/02_de_analyses.R" class="external-link"><code>R/02_de_analyses.R</code></a></small>
       <div class="d-none name"><code>get_deg_list.Rd</code></div>
     </div>
 
@@ -69,58 +54,58 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>se</dt>
+
+
+<dl><dt id="arg-se">se<a class="anchor" aria-label="anchor" href="#arg-se"></a></dt>
 <dd><p>A <code>SummarizedExperiment</code> object with a count matrix and sample
 metadata.</p></dd>
 
 
-<dt>coldata_column</dt>
+<dt id="arg-coldata-column">coldata_column<a class="anchor" aria-label="anchor" href="#arg-coldata-column"></a></dt>
 <dd><p>Character indicating the name of column
 in <code>colData(se)</code> where information on the generation are stored.
 Default: "Generation".</p></dd>
 
 
-<dt>parent1</dt>
+<dt id="arg-parent-">parent1<a class="anchor" aria-label="anchor" href="#arg-parent-"></a></dt>
 <dd><p>Character indicating which level of the
 variable <strong>coldata_column</strong> represents parent 1. Default: "P1".</p></dd>
 
 
-<dt>parent2</dt>
+<dt id="arg-parent-">parent2<a class="anchor" aria-label="anchor" href="#arg-parent-"></a></dt>
 <dd><p>Character indicating which level of the
 variable <strong>coldata_column</strong> represents parent 2. Default: "P2".</p></dd>
 
 
-<dt>offspring</dt>
+<dt id="arg-offspring">offspring<a class="anchor" aria-label="anchor" href="#arg-offspring"></a></dt>
 <dd><p>Character indicating which level of the
 variable <strong>coldata_column</strong> represents the offspring (hybrid
 or allopolyploid). Default: "F1"</p></dd>
 
 
-<dt>midparent</dt>
+<dt id="arg-midparent">midparent<a class="anchor" aria-label="anchor" href="#arg-midparent"></a></dt>
 <dd><p>Character indicating which level of the variable
 <strong>coldata_column</strong> represents the midparent value. Default:
 "midparent", as returned by <code><a href="add_midparent_expression.html">add_midparent_expression()</a></code>.</p></dd>
 
 
-<dt>lfcThreshold</dt>
+<dt id="arg-lfcthreshold">lfcThreshold<a class="anchor" aria-label="anchor" href="#arg-lfcthreshold"></a></dt>
 <dd><p>Numeric indicating the log2 fold-change threshold
 to use to consider differentially expressed genes. Default: 0.</p></dd>
 
 
-<dt>alpha</dt>
+<dt id="arg-alpha">alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>Numeric indicating the adjusted P-value threshold to use
 to consider differentially expressed genes. Default: 0.01.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Additional arguments to be passed to <code><a href="https://rdrr.io/pkg/DESeq2/man/results.html" class="external-link">DESeq2::results()</a></code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A list of data frames with DESeq2's gene-wise tests statistics
+    <p>A list of data frames with DESeq2's gene-wise tests statistics
 for each contrast. Each data frame contains the same columns as the
 output of <code><a href="https://rdrr.io/pkg/DESeq2/man/results.html" class="external-link">DESeq2::results()</a></code>. Contrasts (list names) are:</p><dl><dt>P2_vs_P1</dt>
 <dd><p>Parent 2 (numerator) versus parent 1 (denominator).</p></dd>
@@ -177,23 +162,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-msg co"><span class="r-pr">#&gt;</span> fitting model and testing</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/go_chlamy.html b/reference/go_chlamy.html
index afb86b7..b9dfc7d 100644
--- a/reference/go_chlamy.html
+++ b/reference/go_chlamy.html
@@ -1,52 +1,37 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Data were obtained from Phytozome and processed so that each row contains
-only one GO term (long format)."><title>Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy"><meta property="og:description" content="Data were obtained from Phytozome and processed so that each row contains
-only one GO term (long format)."><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy • HybridExpress</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy"><meta name="description" content="Data were obtained from Phytozome and processed so that each row contains
+only one GO term (long format)."><meta property="og:description" content="Data were obtained from Phytozome and processed so that each row contains
+only one GO term (long format)."><meta property="og:image" content="/logo.png"></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">HybridExpress</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">1.1.1</small>
+
 
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+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/data.R" class="external-link"><code>R/data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/data.R" class="external-link"><code>R/data.R</code></a></small>
       <div class="d-none name"><code>go_chlamy.Rd</code></div>
     </div>
 
@@ -71,23 +56,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">go_chlamy</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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-  
 
-  
+
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diff --git a/reference/index.html b/reference/index.html
index cd54f71..2f28a66 100644
--- a/reference/index.html
+++ b/reference/index.html
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-      <img src="../logo.png" class="logo" alt=""><h1>Function reference</h1>
+      <img src="../logo.png" class="logo" alt=""><h1>Package index</h1>
     </div>
 
     <div class="section level2">
       <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="#all-functions"></a></h2>
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-      
 
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       <dl><dt>
-          
-          <code><a href="add_midparent_expression.html">add_midparent_expression()</a></code> 
+
+          <code><a href="add_midparent_expression.html">add_midparent_expression()</a></code>
+
         </dt>
         <dd>Add midparent expression to <code>SummarizedExperiment</code> object</dd>
       </dl><dl><dt>
-          
-          <code><a href="add_size_factors.html">add_size_factors()</a></code> 
+
+          <code><a href="add_size_factors.html">add_size_factors()</a></code>
+
         </dt>
         <dd>Add size factors to normalize count data by library size or by biomass</dd>
       </dl><dl><dt>
-          
-          <code><a href="deg_counts.html">deg_counts</a></code> 
+
+          <code><a href="deg_counts.html">deg_counts</a></code>
+
         </dt>
         <dd>Data frame with frequencies (absolute and relative) of DEGs per contrast</dd>
       </dl><dl><dt>
-          
-          <code><a href="deg_list.html">deg_list</a></code> 
+
+          <code><a href="deg_list.html">deg_list</a></code>
+
         </dt>
         <dd>List of differentially expressed genes for all contrasts</dd>
       </dl><dl><dt>
-          
-          <code><a href="expression_partitioning.html">expression_partitioning()</a></code> 
+
+          <code><a href="expression_partitioning.html">expression_partitioning()</a></code>
+
         </dt>
         <dd>Partition genes in groups based on their expression patterns</dd>
       </dl><dl><dt>
-          
-          <code><a href="get_deg_counts.html">get_deg_counts()</a></code> 
+
+          <code><a href="get_deg_counts.html">get_deg_counts()</a></code>
+
         </dt>
         <dd>Get a count table of differentially expressed genes per contrast</dd>
       </dl><dl><dt>
-          
-          <code><a href="get_deg_list.html">get_deg_list()</a></code> 
+
+          <code><a href="get_deg_list.html">get_deg_list()</a></code>
+
         </dt>
         <dd>Get a table of differential expression expression statistics with <strong>DESeq2</strong></dd>
       </dl><dl><dt>
-          
-          <code><a href="go_chlamy.html">go_chlamy</a></code> 
+
+          <code><a href="go_chlamy.html">go_chlamy</a></code>
+
         </dt>
         <dd>Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii</dd>
       </dl><dl><dt>
-          
-          <code><a href="ora.html">ora()</a></code> 
+
+          <code><a href="ora.html">ora()</a></code>
+
         </dt>
         <dd>Perform overrepresentation analysis for a set of genes</dd>
       </dl><dl><dt>
-          
-          <code><a href="pca_plot.html">pca_plot()</a></code> 
+
+          <code><a href="pca_plot.html">pca_plot()</a></code>
+
         </dt>
         <dd>Perform a principal component analysis (PCA) and plot PCs</dd>
       </dl><dl><dt>
-          
-          <code><a href="plot_expression_partitions.html">plot_expression_partitions()</a></code> 
+
+          <code><a href="plot_expression_partitions.html">plot_expression_partitions()</a></code>
+
         </dt>
         <dd>Plot expression partitions</dd>
       </dl><dl><dt>
-          
-          <code><a href="plot_expression_triangle.html">plot_expression_triangle()</a></code> 
+
+          <code><a href="plot_expression_triangle.html">plot_expression_triangle()</a></code>
+
         </dt>
         <dd>Plot a triangle of comparisons of DEG sets among generations</dd>
       </dl><dl><dt>
-          
-          <code><a href="plot_partition_frequencies.html">plot_partition_frequencies()</a></code> 
+
+          <code><a href="plot_partition_frequencies.html">plot_partition_frequencies()</a></code>
+
         </dt>
         <dd>Plot a barplot of gene frequencies per expression partition</dd>
       </dl><dl><dt>
-          
-          <code><a href="plot_samplecor.html">plot_samplecor()</a></code> 
+
+          <code><a href="plot_samplecor.html">plot_samplecor()</a></code>
+
         </dt>
         <dd>Plot a heatmap of pairwise sample correlations with hierarchical clustering</dd>
       </dl><dl><dt>
-          
-          <code><a href="se_chlamy.html">se_chlamy</a></code> 
+
+          <code><a href="se_chlamy.html">se_chlamy</a></code>
+
         </dt>
         <dd>Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1)</dd>
       </dl></div>
@@ -137,18 +137,18 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
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 </div>
 
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diff --git a/reference/ora.html b/reference/ora.html
index 28d8e4d..2531229 100644
--- a/reference/ora.html
+++ b/reference/ora.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
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-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../articles/HybridExpress.html">Get started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/almeidasilvaf/HybridExpress/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul></div>
 
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+
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Perform overrepresentation analysis for a set of genes</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/04_gene_set_enrichment.R" class="external-link"><code>R/04_gene_set_enrichment.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/04_gene_set_enrichment.R" class="external-link"><code>R/04_gene_set_enrichment.R</code></a></small>
       <div class="d-none name"><code>ora.Rd</code></div>
     </div>
 
@@ -69,18 +54,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>genes</dt>
+
+
+<dl><dt id="arg-genes">genes<a class="anchor" aria-label="anchor" href="#arg-genes"></a></dt>
 <dd><p>Character vector containing genes for overrepresentation
 analysis.</p></dd>
 
 
-<dt>annotation</dt>
+<dt id="arg-annotation">annotation<a class="anchor" aria-label="anchor" href="#arg-annotation"></a></dt>
 <dd><p>Annotation data frame with genes in the first column and
 functional annotation in the other columns. This data frame can be exported
 from Biomart or similar databases.</p></dd>
 
 
-<dt>column</dt>
+<dt id="arg-column">column<a class="anchor" aria-label="anchor" href="#arg-column"></a></dt>
 <dd><p>Column or columns of <strong>annotation</strong> to be used for
 enrichment.
 Both character or numeric values with column indices can be used.
@@ -88,44 +75,42 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 numeric vector. Default: all columns from <strong>annotation</strong>.</p></dd>
 
 
-<dt>background</dt>
+<dt id="arg-background">background<a class="anchor" aria-label="anchor" href="#arg-background"></a></dt>
 <dd><p>Character vector of genes to be used as background
 for the overrepresentation analysis.</p></dd>
 
 
-<dt>correction</dt>
+<dt id="arg-correction">correction<a class="anchor" aria-label="anchor" href="#arg-correction"></a></dt>
 <dd><p>Multiple testing correction method. One of "holm",
 "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr" or "none".
 Default is "BH".</p></dd>
 
 
-<dt>alpha</dt>
+<dt id="arg-alpha">alpha<a class="anchor" aria-label="anchor" href="#arg-alpha"></a></dt>
 <dd><p>Numeric indicating the adjusted P-value threshold for
 significance. Default: 0.05.</p></dd>
 
 
-<dt>min_setsize</dt>
+<dt id="arg-min-setsize">min_setsize<a class="anchor" aria-label="anchor" href="#arg-min-setsize"></a></dt>
 <dd><p>Numeric indicating the minimum gene set size to be
 considered. Gene sets correspond to levels of each variable
 in <strong>annotation</strong>). Default: 5.</p></dd>
 
 
-<dt>max_setsize</dt>
+<dt id="arg-max-setsize">max_setsize<a class="anchor" aria-label="anchor" href="#arg-max-setsize"></a></dt>
 <dd><p>Numeric indicating the maximum gene set size to be
 considered. Gene sets correspond to levels of each variable
 in <strong>annotation</strong>). Default: 500.</p></dd>
 
 
-<dt>bp_param</dt>
+<dt id="arg-bp-param">bp_param<a class="anchor" aria-label="anchor" href="#arg-bp-param"></a></dt>
 <dd><p>BiocParallel back-end to be used.
 Default: BiocParallel::SerialParam()</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A data frame of overrepresentation results with the following
+    <p>A data frame of overrepresentation results with the following
 variables:</p><dl><dt>term</dt>
 <dd><p>Character, functional term ID/name.</p></dd>
 
@@ -168,23 +153,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/pca_plot-1.png b/reference/pca_plot-1.png
index c057f5d..e43fd85 100644
Binary files a/reference/pca_plot-1.png and b/reference/pca_plot-1.png differ
diff --git a/reference/pca_plot.html b/reference/pca_plot.html
index 7d0e180..eedcfe0 100644
--- a/reference/pca_plot.html
+++ b/reference/pca_plot.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Perform a principal component analysis (PCA) and plot PCs"><title>Perform a principal component analysis (PCA) and plot PCs — pca_plot • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Perform a principal component analysis (PCA) and plot PCs — pca_plot"><meta property="og:description" content="Perform a principal component analysis (PCA) and plot PCs"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Perform a principal component analysis (PCA) and plot PCs — pca_plot • HybridExpress</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.9/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.9/font.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Perform a principal component analysis (PCA) and plot PCs — pca_plot"><meta name="description" content="Perform a principal component analysis (PCA) and plot PCs"><meta property="og:description" content="Perform a principal component analysis (PCA) and plot PCs"><meta property="og:image" content="/logo.png"></head><body>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.99.0</small>
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+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Perform a principal component analysis (PCA) and plot PCs</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
       <div class="d-none name"><code>pca_plot.Rd</code></div>
     </div>
 
@@ -67,38 +52,40 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>se</dt>
+
+
+<dl><dt id="arg-se">se<a class="anchor" aria-label="anchor" href="#arg-se"></a></dt>
 <dd><p>A <code>SummarizedExperiment</code> object with a count matrix and sample
 metadata.</p></dd>
 
 
-<dt>PCs</dt>
+<dt id="arg-pcs">PCs<a class="anchor" aria-label="anchor" href="#arg-pcs"></a></dt>
 <dd><p>Numeric vector indicating which principal components to show
 in the x-axis and y-axis, respectively. Default: <code>c(1,2)</code>.</p></dd>
 
 
-<dt>ntop</dt>
+<dt id="arg-ntop">ntop<a class="anchor" aria-label="anchor" href="#arg-ntop"></a></dt>
 <dd><p>Numeric indicating the number of top genes with the
 highest variances to use for the PCA. Default: 500.</p></dd>
 
 
-<dt>color_by</dt>
+<dt id="arg-color-by">color_by<a class="anchor" aria-label="anchor" href="#arg-color-by"></a></dt>
 <dd><p>Character with the name of the column in <code>colData(se)</code>
 to use to group samples by color. Default: NULL.</p></dd>
 
 
-<dt>shape_by</dt>
+<dt id="arg-shape-by">shape_by<a class="anchor" aria-label="anchor" href="#arg-shape-by"></a></dt>
 <dd><p>Character with the name of the column in <code>colData(se)</code>
 to use to group samples by shape. Default: NULL.</p></dd>
 
 
-<dt>add_mean</dt>
+<dt id="arg-add-mean">add_mean<a class="anchor" aria-label="anchor" href="#arg-add-mean"></a></dt>
 <dd><p>Logical indicating whether to add a diamond symbol
 with the mean value for each level of the variable indicated
 in <strong>color_by</strong>. Default: FALSE</p></dd>
 
 
-<dt>palette</dt>
+<dt id="arg-palette">palette<a class="anchor" aria-label="anchor" href="#arg-palette"></a></dt>
 <dd><p>Character vector with colors to use for each level of the
 variable indicated in <strong>color_by</strong>. If NULL, a default color palette
 will be used.</p></dd>
@@ -106,9 +93,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A ggplot object with a PCA plot showing 2 principal components
+    <p>A ggplot object with a PCA plot showing 2 principal components
 in each axis along with their % of variance explained.</p>
     </div>
 
@@ -123,23 +108,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="pca_plot-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/plot_expression_partitions-1.png b/reference/plot_expression_partitions-1.png
index 33d350a..c926ef6 100644
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diff --git a/reference/plot_expression_partitions.html b/reference/plot_expression_partitions.html
index 4ddf84d..64eb683 100644
--- a/reference/plot_expression_partitions.html
+++ b/reference/plot_expression_partitions.html
@@ -1,50 +1,35 @@
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       <img src="../logo.png" class="logo" alt=""><h1>Plot expression partitions</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
       <div class="d-none name"><code>plot_expression_partitions.Rd</code></div>
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@@ -64,18 +49,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>partition_table</dt>
+
+
+<dl><dt id="arg-partition-table">partition_table<a class="anchor" aria-label="anchor" href="#arg-partition-table"></a></dt>
 <dd><p>A data frame with genes per expression partition
 as returned by <code><a href="expression_partitioning.html">expression_partitioning()</a></code>.</p></dd>
 
 
-<dt>group_by</dt>
+<dt id="arg-group-by">group_by<a class="anchor" aria-label="anchor" href="#arg-group-by"></a></dt>
 <dd><p>Character indicating the name of the variable
 in <strong>partition_table</strong> to use to group genes. One of "Category" or
 "Class". Default: "Category".</p></dd>
 
 
-<dt>palette</dt>
+<dt id="arg-palette">palette<a class="anchor" aria-label="anchor" href="#arg-palette"></a></dt>
 <dd><p>Character vector with color names to be used for each level
 of the variable specified in <strong>group_by</strong>.
 If <strong>group_by = "Category"</strong>, this must be a vector of length 12.
@@ -83,7 +70,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 If NULL, a default color palette will be used.</p></dd>
 
 
-<dt>labels</dt>
+<dt id="arg-labels">labels<a class="anchor" aria-label="anchor" href="#arg-labels"></a></dt>
 <dd><p>A character vector of length 3 indicating the labels to be
 given for parent 1, offspring, and parent 2.
 Default: <code>c("P1", "F1", "P2")</code>.</p></dd>
@@ -91,9 +78,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A ggplot object with a plot showing genes in each expression
+    <p>A ggplot object with a plot showing genes in each expression
 partition.</p>
     </div>
 
@@ -105,23 +90,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="plot_expression_partitions-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
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diff --git a/reference/plot_expression_triangle-1.png b/reference/plot_expression_triangle-1.png
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diff --git a/reference/plot_expression_triangle.html b/reference/plot_expression_triangle.html
index 6f501e9..cc93391 100644
--- a/reference/plot_expression_triangle.html
+++ b/reference/plot_expression_triangle.html
@@ -1,50 +1,35 @@
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       <img src="../logo.png" class="logo" alt=""><h1>Plot a triangle of comparisons of DEG sets among generations</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
       <div class="d-none name"><code>plot_expression_triangle.Rd</code></div>
     </div>
 
@@ -59,18 +44,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>deg_counts</dt>
+
+
+<dl><dt id="arg-deg-counts">deg_counts<a class="anchor" aria-label="anchor" href="#arg-deg-counts"></a></dt>
 <dd><p>Data frame with number of differentially expressed
 genes per contrast as returned by <code>get_deg_counts</code>.</p></dd>
 
 
-<dt>palette</dt>
+<dt id="arg-palette">palette<a class="anchor" aria-label="anchor" href="#arg-palette"></a></dt>
 <dd><p>Character vector of length 4 indicating the colors of the
 boxes for P1, P2, F1, and midparent, respectively. If NULL,
 a default color palette will be used.</p></dd>
 
 
-<dt>box_labels</dt>
+<dt id="arg-box-labels">box_labels<a class="anchor" aria-label="anchor" href="#arg-box-labels"></a></dt>
 <dd><p>Character vector of length 4 indicating the labels of the
 boxes for P1, P2, F1, and midparent, respectively. Default: NULL, which
 will lead to labels "P1", "P2",
@@ -79,9 +66,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A ggplot object with an expression triangle.</p>
+    <p>A ggplot object with an expression triangle.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -98,23 +83,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="plot_expression_triangle-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
     </footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/reference/plot_partition_frequencies-1.png b/reference/plot_partition_frequencies-1.png
index 5112319..314a293 100644
Binary files a/reference/plot_partition_frequencies-1.png and b/reference/plot_partition_frequencies-1.png differ
diff --git a/reference/plot_partition_frequencies.html b/reference/plot_partition_frequencies.html
index b7ce068..ed841e8 100644
--- a/reference/plot_partition_frequencies.html
+++ b/reference/plot_partition_frequencies.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plot a barplot of gene frequencies per expression partition"><title>Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies"><meta property="og:description" content="Plot a barplot of gene frequencies per expression partition"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
       <img src="../logo.png" class="logo" alt=""><h1>Plot a barplot of gene frequencies per expression partition</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
       <div class="d-none name"><code>plot_partition_frequencies.Rd</code></div>
     </div>
 
@@ -64,18 +49,20 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>partition_table</dt>
+
+
+<dl><dt id="arg-partition-table">partition_table<a class="anchor" aria-label="anchor" href="#arg-partition-table"></a></dt>
 <dd><p>A data frame with genes per expression partition
 as returned by <code><a href="expression_partitioning.html">expression_partitioning()</a></code>.</p></dd>
 
 
-<dt>group_by</dt>
+<dt id="arg-group-by">group_by<a class="anchor" aria-label="anchor" href="#arg-group-by"></a></dt>
 <dd><p>Character indicating the name of the variable
 in <strong>partition_table</strong> to use to group genes. One of "Category" or
 "Class". Default: "Category".</p></dd>
 
 
-<dt>palette</dt>
+<dt id="arg-palette">palette<a class="anchor" aria-label="anchor" href="#arg-palette"></a></dt>
 <dd><p>Character vector with color names to be used for each level
 of the variable specified in <strong>group_by</strong>.
 If <strong>group_by = "Category"</strong>, this must be a vector of length 12.
@@ -83,7 +70,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 If NULL, a default color palette will be used.</p></dd>
 
 
-<dt>labels</dt>
+<dt id="arg-labels">labels<a class="anchor" aria-label="anchor" href="#arg-labels"></a></dt>
 <dd><p>A character vector of length 3 indicating the labels to be
 given for parent 1, offspring, and parent 2.
 Default: <code>c("P1", "F1", "P2")</code>.</p></dd>
@@ -91,9 +78,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A ggplot object with a barplot showing gene frequencies per
+    <p>A ggplot object with a barplot showing gene frequencies per
 partition next to explanatory line plots depicting each partition.</p>
     </div>
 
@@ -105,23 +90,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="plot_partition_frequencies-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/reference/plot_samplecor-1.png b/reference/plot_samplecor-1.png
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index e9bb880..f3a26cd 100644
--- a/reference/plot_samplecor.html
+++ b/reference/plot_samplecor.html
@@ -1,50 +1,35 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Plot a heatmap of pairwise sample correlations with hierarchical clustering"><title>Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor • HybridExpress</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/Atkinson_Hyperlegible-0.4.8/font.css" rel="stylesheet"><link href="../deps/Source_Code_Pro-0.4.8/font.css" rel="stylesheet"><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor"><meta property="og:description" content="Plot a heatmap of pairwise sample correlations with hierarchical clustering"><meta property="og:image" content="/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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       <img src="../logo.png" class="logo" alt=""><h1>Plot a heatmap of pairwise sample correlations with hierarchical clustering</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/visualization.R" class="external-link"><code>R/visualization.R</code></a></small>
       <div class="d-none name"><code>plot_samplecor.Rd</code></div>
     </div>
 
@@ -67,38 +52,40 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>se</dt>
+
+
+<dl><dt id="arg-se">se<a class="anchor" aria-label="anchor" href="#arg-se"></a></dt>
 <dd><p>A <code>SummarizedExperiment</code> object with a count matrix and sample
 metadata in the <strong>colData</strong> slot. If a <strong>rowData</strong> slot is
 available, it can also be used for clustering rows.</p></dd>
 
 
-<dt>coldata_cols</dt>
+<dt id="arg-coldata-cols">coldata_cols<a class="anchor" aria-label="anchor" href="#arg-coldata-cols"></a></dt>
 <dd><p>A vector (either numeric or character) indicating
 which columns should be extracted from <strong>colData(se)</strong>.</p></dd>
 
 
-<dt>rowdata_cols</dt>
+<dt id="arg-rowdata-cols">rowdata_cols<a class="anchor" aria-label="anchor" href="#arg-rowdata-cols"></a></dt>
 <dd><p>A vector (either numeric or character) indicating
 which columns should be extracted from <strong>rowData(se)</strong>.</p></dd>
 
 
-<dt>ntop</dt>
+<dt id="arg-ntop">ntop<a class="anchor" aria-label="anchor" href="#arg-ntop"></a></dt>
 <dd><p>Numeric indicating the number of top genes with the
 highest variances to use for the PCA. Default: 500.</p></dd>
 
 
-<dt>cor_method</dt>
+<dt id="arg-cor-method">cor_method<a class="anchor" aria-label="anchor" href="#arg-cor-method"></a></dt>
 <dd><p>Character indicating the correlation method to use.
 One of "pearson" or "spearman". Default: "pearson".</p></dd>
 
 
-<dt>palette</dt>
+<dt id="arg-palette">palette<a class="anchor" aria-label="anchor" href="#arg-palette"></a></dt>
 <dd><p>Character indicating the name of the color palette from
 the RColorBrewer package to use. Default: "Blues".</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Additional arguments to be passed
 to <code><a href="https://rdrr.io/pkg/ComplexHeatmap/man/pheatmap.html" class="external-link">ComplexHeatmap::pheatmap()</a></code>. These arguments can be used to control
 heatmap aesthetics, such as show/hide row and column names,
@@ -108,9 +95,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A heatmap of hierarchically clustered pairwise sample correlations.</p>
+    <p>A heatmap of hierarchically clustered pairwise sample correlations.</p>
     </div>
 
     <div class="section level2">
@@ -124,23 +109,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="plot_samplecor-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
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-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
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     <footer><div class="pkgdown-footer-left">
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+  <p>Developed by Fabricio Almeida-Silva, Lucas Prost-Boxoen, Yves Van de Peer.</p>
 </div>
 
 <div class="pkgdown-footer-right">
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+levels were crossed to generate an allopolyploid (F1)."><meta property="og:description" content="Two lines (referred to as parent 1 and parent 2) with different ploidy
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       <img src="../logo.png" class="logo" alt=""><h1>Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1)</h1>
-      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/HEAD/R/data.R" class="external-link"><code>R/data.R</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/almeidasilvaf/HybridExpress/blob/devel/R/data.R" class="external-link"><code>R/data.R</code></a></small>
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@@ -71,23 +56,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">se_chlamy</span><span class="op">)</span></span></span>
 </code></pre></div>
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 </div>
 
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diff --git a/search.json b/search.json
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+++ b/search.json
@@ -1 +1 @@
-[{"path":"/SUPPORT.html","id":null,"dir":"","previous_headings":"","what":"Getting help with HybridExpress","title":"Getting help with HybridExpress","text":"Thank using HybridExpress! filing issue, things know make process smooth possible parties.","code":""},{"path":"/SUPPORT.html","id":"make-a-reprex","dir":"","previous_headings":"","what":"Make a reprex","title":"Getting help with HybridExpress","text":"Start making minimally reproducible example, also known ‘reprex’. may use reprex R package create one, though necessary help. make R-question-asking endeavors easier. Learning use takes 5 10 minutes. tips make minimally reproducible example, see StackOverflow link.","code":""},{"path":"/SUPPORT.html","id":"where-to-post-it","dir":"","previous_headings":"","what":"Where to post it?","title":"Getting help with HybridExpress","text":"Bioconductor help web page gives overview places may help answer question. Bioconductor software related questions, bug reports feature requests, addressed appropriate Bioconductor/HybridExpress GitHub repository. Follow bug report feature request templates GitHub. package GitHub repository, see next bullet point. Bioconductor software usage questions addressed Bioconductor Support Website. Make sure use appropriate package tag, otherwise package authors get notification. General R questions can posed StackOverflow RStudio Community website especially pertain tidyverse RStudio GUI related products.","code":""},{"path":"/SUPPORT.html","id":"issues-or-feature-requests","dir":"","previous_headings":"","what":"Issues or Feature Requests","title":"Getting help with HybridExpress","text":"opening new issue feature request, sure search issues pull requests ensure one already exist implemented development version. Note. can remove :open search term issues page search open closed issues. See link learn modifying search.","code":""},{"path":"/SUPPORT.html","id":"what-happens-next","dir":"","previous_headings":"","what":"What happens next?","title":"Getting help with HybridExpress","text":"Bioconductor maintainers limited resources strive responsive possible. Please forget tag appropriate maintainer issue GitHub username (e.g., @username). order make easy possible Bioconductor core developers remediate issue. Provide accurate, brief, reproducible report outlined issue templates. Thank trusting Bioconductor.","code":""},{"path":"/articles/HybridExpress.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"formation hybrids fusion distinct genomes subsequent genome duplication (cases allopolyploidy) represents significant evolutionary event complex effects cellular biology, particularly gene expression. impact genome mergings duplications transcription remain incompletely understood. bridge gap, introduce HybridExpress, comprehensive package designed facilitate comparative transcriptomic analysis hybrids progenitor species. HybridExpress tailored RNA-Seq data derived ‘hybrid triplet’: hybrid organism two parental species. package offers suite intuitive functions enabling researchers perform differential expression analysis ease, generate principal component analysis (PCA) plots visualize sample grouping, categorize genes 12 distinct expression pattern groups (Rapp, Udall, Wendel (2009)), conduct functional analyses. Acknowledging potential variability cell transcriptome size across species ploidy levels, HybridExpress incorporates features rigorous normalization count data. Specifically, allows integration spike-controls directly normalization process, ensuring accurate transcriptome size adjustments standards present RNA-Seq count data (see full methodology Coate (2023)). offering capabilities, HybridExpress provides robust tool set unraveling intricate effects genome doubling merging gene expression, paving way novel insights cellular biology hybrid organisms.","code":""},{"path":"/articles/HybridExpress.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"HybridExpress can installed Bioconductor following code:","code":"if(!requireNamespace('BiocManager', quietly = TRUE))   install.packages('BiocManager')  BiocManager::install(\"HybridExpress\") # Load package after installation library(HybridExpress)  set.seed(123) # for reproducibility"},{"path":"/articles/HybridExpress.html","id":"data-description","dir":"Articles","previous_headings":"","what":"Data description","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"vignette, use example data set comprises (unpublished) gene expression data (counts) Chlamydomonas reinhardtii. lab, crossed diploid line C. reinhardtii (hereafter “P1”) haploid line (hereafter “P2”), thus generating triploid line merging two parental genomes. count matrix sample metadata stored SummarizedExperiment objects, standard Bioconductor data structure required HybridExpress. instructions create SummarizedExperiment object, check FAQ section vignette. Let’s load example data take quick look : can see, count matrix contains 13058 genes 18 samples, 6 replicates parent 1 (P1, diploid), 6 replicates parent 2 (P2, haploid), 6 replicates progeny (F1, triploid).","code":"library(SummarizedExperiment)  # Load data data(se_chlamy)  # Inspect the `SummarizedExperiment` object se_chlamy #> class: SummarizedExperiment  #> dim: 13058 18  #> metadata(0): #> assays(1): counts #> rownames(13058): Cre01.g000050 Cre01.g000150 ... ERCC-00170 ERCC-00171 #> rowData names(0): #> colnames(18): S1 S2 ... S17 S18 #> colData names(2): Ploidy Generation  ## Take a look at the colData and count matrix colData(se_chlamy) #> DataFrame with 18 rows and 2 columns #>          Ploidy Generation #>     <character>   <factor> #> S1      diploid         P1 #> S2      diploid         P1 #> S3      diploid         P1 #> S4      diploid         P1 #> S5      diploid         P1 #> ...         ...        ... #> S14    triploid         F1 #> S15    triploid         F1 #> S16    triploid         F1 #> S17    triploid         F1 #> S18    triploid         F1 assay(se_chlamy) |> head() #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 #> Cre01.g000050   29   22   21   16 #> Cre01.g000150   37   17   24   21 #> Cre01.g000200   24   26   18   21 #> Cre01.g000250  358  339  340  332 #> Cre01.g000300 1524 1720 1517 1243 #> Cre01.g000350  276  324  246  275  table(se_chlamy$Ploidy, se_chlamy$Generation) #>            #>            F1 P1 P2 #>   diploid   0  6  0 #>   haploid   0  0  6 #>   triploid  6  0  0"},{"path":"/articles/HybridExpress.html","id":"adding-midparent-expression-values","dir":"Articles","previous_headings":"","what":"Adding midparent expression values","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"First , ’d want add count matrix silico samples contain expression values midparent. can done function add_midparent_expression(), takes random sample pair (one sample parent, sampling without replacement) calculates midparent expression value one three ways: Mean (default): get mean expression two samples. Sum: get sum two samples. Weighted mean: get weighted mean two samples multiplying expression value parent weight. Typically, can used two parents different ploidy levels, weights correspond ploidy level parent. function, besides specifying method obtain midparent expression values (.e., “mean”, “sum”, “weightedmean”), users must also specify name column colData contains information generations (default: “Generation”), well levels corresponding parent (default: “P1” “P2” parents 1 2, respectively). proceed analyses midparent expression values obtained mean counts, stored se object.","code":"# Add midparent expression using the mean of the counts se <- add_midparent_expression(se_chlamy) head(assay(se)) #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> Cre01.g000050   29   22   21   16         18         27         14         20 #> Cre01.g000150   37   17   24   21         32         46         38         56 #> Cre01.g000200   24   26   18   21         19         22         20         18 #> Cre01.g000250  358  339  340  332        310        372        273        284 #> Cre01.g000300 1524 1720 1517 1243       1030       1331       1072       1166 #> Cre01.g000350  276  324  246  275        242        316        242        268 #>               midparent5 midparent6 #> Cre01.g000050         18         22 #> Cre01.g000150         31         46 #> Cre01.g000200         16         24 #> Cre01.g000250        278        348 #> Cre01.g000300       1076       1182 #> Cre01.g000350        242        304  # Alternative 1: using the sum of the counts add_midparent_expression(se_chlamy, method = \"sum\") |>     assay() |>      head() #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> Cre01.g000050   29   22   21   16         43         26         58         46 #> Cre01.g000150   37   17   24   21         86         25         86        140 #> Cre01.g000200   24   26   18   21         38         24         50         41 #> Cre01.g000250  358  339  340  332        666        518        810        587 #> Cre01.g000300 1524 1720 1517 1243       2557       1893       2629       2373 #> Cre01.g000350  276  324  246  275        527        453        668        531 #>               midparent5 midparent6 #> Cre01.g000050         37         27 #> Cre01.g000150         96         62 #> Cre01.g000200         51         34 #> Cre01.g000250        714        432 #> Cre01.g000300       2548       1716 #> Cre01.g000350        633        419  # Alternative 2: using the weighted mean of the counts (weights = ploidy) w <- c(2, 1) # P1 = diploid; P2 = haploid add_midparent_expression(se_chlamy, method = \"weightedmean\", weights = w) |>     assay() |>      head() #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> Cre01.g000050   29   22   21   16         25         29         39         22 #> Cre01.g000150   37   17   24   21         27         30         29         16 #> Cre01.g000200   24   26   18   21         27         32         33         21 #> Cre01.g000250  358  339  340  332        181        232        270        210 #> Cre01.g000300 1524 1720 1517 1243       1453       1576       1753       1532 #> Cre01.g000350  276  324  246  275        166        202        223        165 #>               midparent5 midparent6 #> Cre01.g000050         26         17 #> Cre01.g000150         48         15 #> Cre01.g000200         29         17 #> Cre01.g000250        202        148 #> Cre01.g000300       1705       1125 #> Cre01.g000350        186        136"},{"path":"/articles/HybridExpress.html","id":"normalizing-count-data","dir":"Articles","previous_headings":"","what":"Normalizing count data","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"normalize count data, function add_size_factors() calculates size factors (used DESeq2 normalization) adds extra column colData slot SummarizedExperiment object. size factors calculated using one two methods: library size (default) using ‘median ratios’ method implemented DESeq2. cell size/biomass using spike-controls (available). spike-controls present count matrix, can use normalization setting spikein = TRUE specifying pattern used indicate rows contain spike-ins (usually start ERCC)1. Normalization spike-controls particularly useful amount mRNA per cell equal generations (due , instance, different ploidy levels, turn can lead different cell sizes /biomass). example data set, spike-controls available last rows count matrix. Let’s take look . can see, rows spike-counts start “ERCC”. Let’s add size factors SummarizedExperiment object using spike-controls.","code":"# Show last rows of the count matrix assay(se) |>      tail() #>              S1   S2   S3   S4   S5   S6   S7   S8   S9  S10  S11  S12  S13 #> ERCC-00163   74   75   55   77   51   84  132  127   93  108   79  102   66 #> ERCC-00164    0    4    0    1    4    1    6    4    1    4    3    2    5 #> ERCC-00165  147  139   87  165  118  179  236  246  139  218  176  145  118 #> ERCC-00168    2    5    2    2    2    6    5    1    1    5    0    3    4 #> ERCC-00170   97   95   73  101   70  118  186  148  110  167  110  103   72 #> ERCC-00171 4644 4959 3554 5357 4170 5946 8207 7915 4992 7843 6455 5884 4537 #>             S14  S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> ERCC-00163   67   62   80   88   47         67         96        101         90 #> ERCC-00164    4    3    5    4    2          2          2          4          2 #> ERCC-00165  143  115  185  192  136        132        198        192        155 #> ERCC-00168    6    2   11    5    2          1          6          3          2 #> ERCC-00170   99   64  121  103   84         92        142        122        102 #> ERCC-00171 5665 4598 6168 5771 4747       5004       6894       6437       5620 #>            midparent5 midparent6 #> ERCC-00163         92         84 #> ERCC-00164          5          0 #> ERCC-00165        177        143 #> ERCC-00168          4          2 #> ERCC-00170        128        104 #> ERCC-00171       6188       4818 # Take a look at the original colData colData(se) #> DataFrame with 24 rows and 2 columns #>                 Ploidy Generation #>            <character>   <factor> #> S1             diploid         P1 #> S2             diploid         P1 #> S3             diploid         P1 #> S4             diploid         P1 #> S5             diploid         P1 #> ...                ...        ... #> midparent2          NA  midparent #> midparent3          NA  midparent #> midparent4          NA  midparent #> midparent5          NA  midparent #> midparent6          NA  midparent  # Add size factors estimated from spike-in controls se <- add_size_factors(se, spikein = TRUE, spikein_pattern = \"ERCC\") #> converting counts to integer mode  # Take a look at the new colData colData(se) #> DataFrame with 24 rows and 3 columns #>                 Ploidy Generation sizeFactor #>            <character>   <factor>  <numeric> #> S1             diploid         P1   0.856262 #> S2             diploid         P1   0.938417 #> S3             diploid         P1   0.648653 #> S4             diploid         P1   0.969369 #> S5             diploid         P1   0.718761 #> ...                ...        ...        ... #> midparent2          NA  midparent   1.278078 #> midparent3          NA  midparent   1.201072 #> midparent4          NA  midparent   1.000892 #> midparent5          NA  midparent   1.186773 #> midparent6          NA  midparent   0.871889"},{"path":"/articles/HybridExpress.html","id":"exploratory-data-analyses","dir":"Articles","previous_headings":"","what":"Exploratory data analyses","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"Next, can perform exploratory analyses sample clustering verify samples group expected. HybridExpress, can performed using two functions: pca_plot(): creates principal component analysis (PCA) plots, colors shapes (optional) mapped levels colData variables; plot_samplecor(): plots heatmap hierarchically clustered pairwise sample correlations. Let’s start PCA plot:  plot , data point corresponds sample, colors shapes mapped levels variables specified arguments color_by shape_by, respectively. Besides, specifying add_mean = TRUE, added diamond shape indicating mean PC coordinates based variable color_by (, “Generation”). Now, let’s plot heatmap sample correlations:  can see samples group well together PCA plot correlation heatmap. note, pca_plot() plot_samplecor() use top 500 genes highest variances create plot. genes low variances (.e., genes vary much across samples) uninformative typically add noise. can change number (use less genes) ntop argument functions.","code":"# For colData rows with missing values (midparent samples), add \"midparent\" se$Ploidy[is.na(se$Ploidy)] <- \"midparent\" se$Generation[is.na(se$Generation)] <- \"midparent\"  # Create PCA plot pca_plot(se, color_by = \"Generation\", shape_by = \"Ploidy\", add_mean = TRUE) # Plot a heatmap of sample correlations plot_samplecor(se, coldata_cols = c(\"Generation\", \"Ploidy\"))"},{"path":"/articles/HybridExpress.html","id":"identifying-differentially-expressed-genes-between-hybrids-and-their-parents","dir":"Articles","previous_headings":"","what":"Identifying differentially expressed genes between hybrids and their parents","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"compare gene expression levels hybrids progenitor species, can use function get_deg_list(). function performs differential expression analyses using DESeq2 returns list data frames gene-wise test statistics following contrasts: P2_vs_P1: parent 2 (numerator) versus parent 1 (denominator). F1_vs_P1: hybrid (numerator) versus parent 1 (denominator). F1_vs_P2: hybrid (numerator) versus parent 2 (denominator). F1_vs_midparent: hybrid (numerator) vs midparent (denominator). size factors estimated add_size_factors() used normalization differential expression testing. Let’s use get_deg_list() get differentially expressed genes (DEGs) contrast. summarize frequencies - -regulated genes per contrast single data frame, use function get_deg_counts(). important note columns perc_up, perc_down, perc_total show percentages -regulated, -regulated, differentially expressed genes relative total number genes count matrix. total number genes count matrix stored ngenes attribute list returned get_deg_list(): However, since count matrix usually include genes genome (e.g., lowly expressed genes genes low variance usually filtered ), percentages perc_up, perc_down, perc_total relative total number genes genome. use total number genes genome reference, need update ngenes attribute DEG list appropriate number follows: , can run get_deg_counts() get percentages relative total number genes genome. Finally, can summarize everything single publication-ready figure using plot plot_expression_triangle(), shows ‘experimental trio’ (.e., hybrid progenitors) triangle, frequencies DEGs indicated.  figure commonly used publications, inspired Rapp, Udall, Wendel (2009). edge (line), numbers middle (bold) indicate frequency DEGs, numbers ends (close boxes) indicate frequency -regulated genes generation. instance, figure shows , contrast F1 P1, 5476 DEGs (32.4% genome), 1471 -regulated F1, 4005 -regulated P1. custom figure, can also specify color palette labels boxes. example:","code":"# Get a list of differentially expressed genes for each contrast deg_list <- get_deg_list(se) #> using pre-existing size factors #> estimating dispersions #> gene-wise dispersion estimates #> mean-dispersion relationship #> final dispersion estimates #> fitting model and testing  # Inspecting the output ## Getting contrast names names(deg_list) #> [1] \"P2_vs_P1\"        \"F1_vs_P1\"        \"F1_vs_P2\"        \"F1_vs_midparent\"  ## Accessing gene-wise test statistics for contrast `F1_vs_P1` head(deg_list$F1_vs_P1) #>                baseMean log2FoldChange     lfcSE      stat       pvalue #> Cre01.g000450  39.59273     -1.1632346 0.2165407 -5.371898 7.791211e-08 #> Cre01.g000750 103.10296      0.8807307 0.1842856  4.779162 1.760270e-06 #> Cre01.g000900 471.44084      0.6807925 0.1980730  3.437079 5.880239e-04 #> Cre01.g001000  10.34574     -6.6304915 0.9631384 -6.884256 5.809030e-12 #> Cre01.g001100 453.87151     -0.6457115 0.1506903 -4.285025 1.827187e-05 #> Cre01.g001200 159.03643      0.7231060 0.1946090  3.715685 2.026536e-04 #>                       padj #> Cre01.g000450 4.653531e-07 #> Cre01.g000750 8.329159e-06 #> Cre01.g000900 1.707442e-03 #> Cre01.g001000 6.659069e-11 #> Cre01.g001100 7.200448e-05 #> Cre01.g001200 6.453951e-04  ## Counting the number of DEGs per contrast sapply(deg_list, nrow) #>        P2_vs_P1        F1_vs_P1        F1_vs_P2 F1_vs_midparent  #>            8698            5476            7350            4348 # Get a data frame with DEG frequencies for each contrast deg_counts <- get_deg_counts(deg_list)  deg_counts #>          contrast   up down total perc_up perc_down perc_total #> 1        P2_vs_P1  828 7870  8698     6.4      60.7       67.1 #> 2        F1_vs_P1 1471 4005  5476    11.3      30.9       42.2 #> 3        F1_vs_P2 6487  863  7350    50.0       6.7       56.7 #> 4 F1_vs_midparent 2620 1728  4348    20.2      13.3       33.5 attributes(deg_list)$ngenes #> [1] 12966 # Total number of genes in the C. reinhardtii genome (v6.1): 16883 attributes(deg_list)$ngenes <- 16883 deg_counts <- get_deg_counts(deg_list) deg_counts #>          contrast   up down total perc_up perc_down perc_total #> 1        P2_vs_P1  828 7870  8698     4.9      46.6       51.5 #> 2        F1_vs_P1 1471 4005  5476     8.7      23.7       32.4 #> 3        F1_vs_P2 6487  863  7350    38.4       5.1       43.5 #> 4 F1_vs_midparent 2620 1728  4348    15.5      10.2       25.8 # Plot expression triangle plot_expression_triangle(deg_counts) # Create vectors (length 4) of colors and box labels pal <- c(\"springgreen4\", \"darkorange3\", \"mediumpurple4\", \"mediumpurple3\") labels <- c(\"Parent 1\\n(2n)\", \"Parent 2\\n(n)\", \"Progeny\\n(3n)\", \"Midparent\")  plot_expression_triangle(deg_counts, palette = pal, box_labels = labels)"},{"path":"/articles/HybridExpress.html","id":"expression-based-gene-classification","dir":"Articles","previous_headings":"","what":"Expression-based gene classification","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"identifying DEGs different contrasts, ’d typically want classify genes expression partitions based expression patterns. can performed function expression_partitioning(), classifies genes one 12 categories Rapp, Udall, Wendel (2009), 5 major classes summarize 12 categories. five classes : Transgressive -regulation (): gene -regulated hybrid compared parents. Transgressive -regulation (): gene -regulated hybrid compared parents. Additivity (ADD): gene expression hybrid mean parents (additive effect). Expression-level dominance toward parent 1 (ELD_P1): gene expression hybrid parent 1, different parent 2. Expression-level dominance toward parent 2 (ELD_P2): gene expression hybrid parent 2, different parent 1. visualize expression partitions scatter plot expression divergences, can use function plot_expression_partitions().  default, genes grouped Category. However, can also group genes Class follows:  can also visualize frequencies genes partition function plot_partition_frequencies().","code":"# Classify genes in expression partitions exp_partitions <- expression_partitioning(deg_list)  # Inspect the output head(exp_partitions) #>            Gene Category Class lFC_F1_vs_P1 lFC_F1_vs_P2 #> 1 Cre01.g003650        1   ADD    0.7838125   -1.0484464 #> 2 Cre01.g005150        1   ADD    1.0473362   -0.5041601 #> 3 Cre01.g008600        1   ADD    5.0518384   -1.4840829 #> 4 Cre01.g013500        1   ADD    2.1099265   -1.5329846 #> 5 Cre01.g034850        1   ADD    1.5838851   -0.7611868 #> 6 Cre01.g800005        1   ADD    1.4928449   -0.9315119  # Count number of genes per category table(exp_partitions$Category) #>  #>    1    2    3    4    5    6    7    8    9   10   11   12  #>   70  262   66 3283   77  287  214  651  280  147 1760 1666  # Count number of genes per class table(exp_partitions$Class) #>  #>     UP   DOWN    ADD ELD_P1 ELD_P2  #>   1015    427   1736   3563   2022 # Plot partitions as a scatter plot of divergences plot_expression_partitions(exp_partitions, group_by = \"Category\") # Group by `Class` plot_expression_partitions(exp_partitions, group_by = \"Class\") # Visualize frequency of genes in each partition ## By `Category` (default) plot_partition_frequencies(exp_partitions) ## By `Class` plot_partition_frequencies(exp_partitions, group_by = \"Class\")"},{"path":"/articles/HybridExpress.html","id":"overrepresentation-analysis-of-functional-terms","dir":"Articles","previous_headings":"","what":"Overrepresentation analysis of functional terms","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"Lastly, ’d want explore whether gene sets interest (e.g., -regulated genes contrast) enriched particular GO term, pathway, protein domain, etc. , use function ora(), performs overrepresentation analysis gene set given data frame functional annotation gene. , use example data set GO annotation C. reinhardtii genes. data set illustrates annotation data frame must shaped: gene ID first column, functional annotations columns. demonstrate usage ora(), let’s check can find enrichment GO term among genes assigned class “ADD”.","code":"# Load example functional annotation (GO terms) data(go_chlamy)  head(go_chlamy) #>            gene                                           GO #> 1 Cre01.g000050                                         <NA> #> 2 Cre01.g000100                                         <NA> #> 3 Cre01.g000150                                     membrane #> 4 Cre01.g000150                          metal ion transport #> 5 Cre01.g000150 metal ion transmembrane transporter activity #> 6 Cre01.g000150                      transmembrane transport # Get a vector of genes in class \"ADD\" genes_add <- exp_partitions$Gene[exp_partitions$Class == \"ADD\"] head(genes_add) #> [1] \"Cre01.g003650\" \"Cre01.g005150\" \"Cre01.g008600\" \"Cre01.g013500\" #> [5] \"Cre01.g034850\" \"Cre01.g800005\"  # Get background genes - genes in the count matrix bg <- rownames(se)  # Perform overrepresentation analysis ora_add <- ora(genes_add, go_chlamy, background = bg)  # Inspect results head(ora_add) #>                                                   term genes all         pval #> 20                      aminoacyl-tRNA ligase activity    14  33 3.811521e-05 #> 84                                           cytoplasm    43 151 7.379762e-07 #> 97                                     DNA replication    17  37 1.471956e-06 #> 114                             endopeptidase activity     6  10 7.400151e-04 #> 115                              endoplasmic reticulum     9  17 1.193854e-04 #> 118 eukaryotic translation initiation factor 3 complex     7   9 2.144087e-05 #>             padj category #> 20  1.766005e-03       GO #> 84  7.693402e-05       GO #> 97  1.227611e-04       GO #> 114 2.204188e-02       GO #> 115 4.978369e-03       GO #> 118 1.277263e-03       GO"},{"path":"/articles/HybridExpress.html","id":"example-1-overrepresentation-analyses-for-all-expression-based-classes","dir":"Articles","previous_headings":"Overrepresentation analysis of functional terms","what":"Example 1: overrepresentation analyses for all expression-based classes","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"example , performed overrepresentation analysis genes associated class “ADD”. wanted classes? case, run ora() multiple times looping class. details, following: class, create vector genes associated ; Run ora() get data frame ORA results. can find example using lapply(). Results class stored elements list object. expression-based category (class), ’d need replace Class Category split() function (see example ).","code":"# Create a list of genes in each class genes_by_class <- split(exp_partitions$Gene, exp_partitions$Class)  names(genes_by_class) #> [1] \"UP\"     \"DOWN\"   \"ADD\"    \"ELD_P1\" \"ELD_P2\" head(genes_by_class$UP) #> [1] \"Cre01.g029250\" \"Cre01.g034380\" \"Cre01.g036700\" \"Cre01.g049400\" #> [5] \"Cre02.g085500\" \"Cre02.g087150\"  # Iterate through each class and perform ORA ora_classes <- lapply(     genes_by_class, # list through which we will iterate     ora, # function we will apply to each element of the list     annotation = go_chlamy, background = bg # additional arguments to function )  # Inspect output ora_classes #> $UP #>                                    term genes all         pval         padj #> 29              ATP hydrolysis activity    21 119 3.380614e-04 0.0469905310 #> 109                      dynein complex     8  13 1.237752e-06 0.0005161427 #> 127 flavin adenine dinucleotide binding    11  42 2.857201e-04 0.0469905310 #>     category #> 29        GO #> 109       GO #> 127       GO #>  #> $DOWN #>                                  term genes all         pval         padj #> 242           oxidoreductase activity    21 274 2.931239e-04 2.444654e-02 #> 271                    photosynthesis    13  58 3.656759e-08 7.624343e-06 #> 272  photosynthesis, light harvesting    18  24 1.638332e-22 6.831844e-20 #> 276                     photosystem I     5  15 8.644389e-05 9.011776e-03 #> 376 tetrapyrrole biosynthetic process     5   8 1.952599e-06 2.714112e-04 #>     category #> 242       GO #> 271       GO #> 272       GO #> 276       GO #> 376       GO #>  #> $ADD #>                                                                                      term #> 20                                                         aminoacyl-tRNA ligase activity #> 84                                                                              cytoplasm #> 97                                                                        DNA replication #> 114                                                                endopeptidase activity #> 115                                                                 endoplasmic reticulum #> 118                                    eukaryotic translation initiation factor 3 complex #> 165                                                       intracellular protein transport #> 227                                                                          nuclear pore #> 250 oxidoreductase activity, acting on the CH-OH group of donors, NAD or NADP as acceptor #> 284                                                                     prefoldin complex #> 287                                                               proteasome core complex #> 293                                                                       protein folding #> 294                                                                 protein glycosylation #> 304                                                                     protein refolding #> 390                                                translation initiation factor activity #> 410                                                              unfolded protein binding #> 414                                                            vesicle-mediated transport #>     genes all         pval         padj category #> 20     14  33 3.811521e-05 1.766005e-03       GO #> 84     43 151 7.379762e-07 7.693402e-05       GO #> 97     17  37 1.471956e-06 1.227611e-04       GO #> 114     6  10 7.400151e-04 2.204188e-02       GO #> 115     9  17 1.193854e-04 4.978369e-03       GO #> 118     7   9 2.144087e-05 1.277263e-03       GO #> 165    25  73 4.442015e-06 3.087201e-04       GO #> 227     6   9 3.339022e-04 1.160310e-02       GO #> 250    10  27 1.739601e-03 4.533836e-02       GO #> 284     4   4 3.203862e-04 1.160310e-02       GO #> 287     9  15 3.165895e-05 1.650223e-03       GO #> 293    29  81 2.663812e-07 3.702698e-05       GO #> 294     6  10 7.400151e-04 2.204188e-02       GO #> 304    10  10 1.809949e-09 7.547489e-07       GO #> 390     9  21 8.722652e-04 2.424897e-02       GO #> 410    19  38 6.478683e-08 1.350805e-05       GO #> 414    13  41 1.955735e-03 4.797302e-02       GO #>  #> $ELD_P1 #>                term genes all         pval        padj category #> 38          binding    88 208 2.494608e-06 0.001040251       GO #> 239         nucleus    77 193 1.141172e-04 0.023793431       GO #> 345 rRNA processing    15  24 3.464517e-04 0.048156786       GO #>  #> $ELD_P2 #>                                                                term genes all #> 28                             aspartic-type endopeptidase activity     6   8 #> 170                                                iron ion binding    30  93 #> 242                                         oxidoreductase activity    71 274 #> 271                                                  photosynthesis    26  58 #> 278                                                  photosystem II    17  32 #> 320 proton-transporting two-sector ATPase complex, catalytic domain     6   8 #>             pval         padj category #> 28  3.007465e-04 2.090188e-02       GO #> 170 4.577693e-05 4.772245e-03       GO #> 242 6.069186e-06 8.436168e-04       GO #> 271 1.191954e-07 4.970448e-05       GO #> 278 9.602908e-07 2.002206e-04       GO #> 320 3.007465e-04 2.090188e-02       GO"},{"path":"/articles/HybridExpress.html","id":"example-2-overrepresentation-analyses-for-differentially-expressed-genes","dir":"Articles","previous_headings":"Overrepresentation analysis of functional terms","what":"Example 2: overrepresentation analyses for differentially expressed genes","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"can use lapply() loop expression class, can also loop contrast list returned get_deg_list(), perform ORA - -regulated genes. can find example: Likewise, -regulated genes, need replace > symbol < symbol anonymous function subset rows.","code":"# Get up-regulated genes for each contrast up_genes <- lapply(deg_list, function(x) rownames(x[x$log2FoldChange > 0, ])) names(up_genes) #> [1] \"P2_vs_P1\"        \"F1_vs_P1\"        \"F1_vs_P2\"        \"F1_vs_midparent\" head(up_genes$F1_vs_P1) #> [1] \"Cre01.g000750\" \"Cre01.g000900\" \"Cre01.g001200\" \"Cre01.g002750\" #> [5] \"Cre01.g003524\" \"Cre01.g003650\"  # Perform ORA ora_up <- lapply(     up_genes,     ora,     annotation = go_chlamy, background = bg )  ora_up #> $P2_vs_P1 #> [1] term     genes    all      pval     padj     category #> <0 rows> (or 0-length row.names) #>  #> $F1_vs_P1 #>               term genes all         pval        padj category #> 109 dynein complex     8  13 2.049704e-05 0.008547264       GO #>  #> $F1_vs_P2 #>                                              term genes all         pval #> 38                                        binding   138 208 1.214715e-06 #> 96                                     DNA repair    56  83 9.520576e-04 #> 144                                   GTP binding    72 111 1.095054e-03 #> 169                                 ion transport    33  45 1.225270e-03 #> 209                     microtubule-based process    10  10 9.792020e-04 #> 239                                       nucleus   125 193 2.252487e-05 #> 303                        protein polymerization    10  10 9.792020e-04 #> 304                             protein refolding    10  10 9.792020e-04 #> 307 protein serine/threonine phosphatase activity    20  24 7.724253e-04 #> 338                                   RNA binding   101 157 1.948736e-04 #> 384                  transcription, DNA-templated    28  36 5.951883e-04 #>            padj category #> 38  0.000506536       GO #> 96  0.045369693       GO #> 144 0.045663753       GO #> 169 0.046448881       GO #> 209 0.045369693       GO #> 239 0.004696435       GO #> 303 0.045369693       GO #> 304 0.045369693       GO #> 307 0.045369693       GO #> 338 0.027087430       GO #> 384 0.045369693       GO #>  #> $F1_vs_midparent #>                                              term genes all         pval #> 80         cyclic nucleotide biosynthetic process    38 108 1.983329e-04 #> 109                                dynein complex     9  13 1.789139e-04 #> 166             intracellular signal transduction    38 110 3.036659e-04 #> 168                          ion channel activity    20  48 5.611617e-04 #> 169                                 ion transport    21  45 5.765412e-05 #> 290                     protein dephosphorylation    21  44 3.792684e-05 #> 307 protein serine/threonine phosphatase activity    15  24 7.437911e-06 #>            padj category #> 80  0.016540962       GO #> 109 0.016540962       GO #> 166 0.021104781       GO #> 168 0.033429202       GO #> 169 0.008013923       GO #> 290 0.007907747       GO #> 307 0.003101609       GO"},{"path":"/articles/HybridExpress.html","id":"faq","dir":"Articles","previous_headings":"","what":"FAQ","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"create SummarizedExperiment object? SummarizedExperiment data structure (S4 class) can used store, single object, following elements: assay: quantitative matrix features rows samples columns. context HybridExpress, gene expression matrix (counts) genes rows samples columns. colData: data frame sample metadata samples rows variables describe samples (e.g., tissue, treatment, covariates) columns. rowData: data frame gene metadata genes rows variables describe genes (e.g., chromosome name, alternative IDs, functional information, etc) columns. package, must assay containing count matrix colData slot sample metadata. rowData can present, required. demonstrate create SummarizedExperiment object, extract assay colData example object se_chlamy comes package. two objects, can create SummarizedExperiment object : details data structure, read vignette SummarizedExperiment package.","code":"# Get count matrix count_matrix <- assay(se_chlamy) head(count_matrix) #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 #> Cre01.g000050   29   22   21   16 #> Cre01.g000150   37   17   24   21 #> Cre01.g000200   24   26   18   21 #> Cre01.g000250  358  339  340  332 #> Cre01.g000300 1524 1720 1517 1243 #> Cre01.g000350  276  324  246  275  # Get colData (data frame of sample metadata) coldata <- colData(se_chlamy) head(coldata) #> DataFrame with 6 rows and 2 columns #>         Ploidy Generation #>    <character>   <factor> #> S1     diploid         P1 #> S2     diploid         P1 #> S3     diploid         P1 #> S4     diploid         P1 #> S5     diploid         P1 #> S6     diploid         P1 # Create a SummarizedExperiment object new_se <- SummarizedExperiment(     assays = list(counts = count_matrix),     colData = coldata )  new_se #> class: SummarizedExperiment  #> dim: 13058 18  #> metadata(0): #> assays(1): counts #> rownames(13058): Cre01.g000050 Cre01.g000150 ... ERCC-00170 ERCC-00171 #> rowData names(0): #> colnames(18): S1 S2 ... 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Bioconductor 3.19 (R 4.4.0) #>  yaml                   2.3.8     2023-12-11 [2] CRAN (R 4.4.0) #>  zlibbioc               1.49.0    2023-10-24 [1] Bioconductor #>  #>  [1] /__w/_temp/Library #>  [2] /usr/local/lib/R/site-library #>  [3] /usr/local/lib/R/library #>  #> ──────────────────────────────────────────────────────────────────────────────"},{"path":[]},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Fabricio Almeida-Silva. Author, maintainer. Lucas Prost-Boxoen. Author. Yves Van de Peer. Author.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Almeida-Silva F, Prost-Boxoen L, Van de Peer Y (2024). HybridExpress: Comparative analysis RNA-seq data hybrids progenitors. R package version 0.99.0, https://github.com/almeidasilvaf/HybridExpress.","code":"@Manual{,   title = {HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors},   author = {Fabricio Almeida-Silva and Lucas Prost-Boxoen and Yves {Van de Peer}},   year = {2024},   note = {R package version 0.99.0},   url = {https://github.com/almeidasilvaf/HybridExpress}, }"},{"path":"/index.html","id":"hybridexpress-","dir":"","previous_headings":"","what":"Comparative analysis of RNA-seq data for hybrids and their progenitors","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"goal HybridExpress perform comparative transcriptomic analyses hybrids relative progenitor species (.k.. experimental trios). package features: Calculation midparent expression values, silico samples obtained mean, sum, weighted mean random sample pairs parent; Exploratory analyses sample grouping PCA plots heatmaps hierarchically-clustered pairwise sample correlations; Identification differentially expressed genes hybrids progenitor species, hybrids midparent values, two parents. spike-standards available, HybridExpress uses normalize count data transcriptome size; Classification genes expression-based categories classes based Rapp et al. (2009). 12 expression categories proposed Rapp et al. (2009) grouped 5 major classes (transgressive -regulation, transgressive -regulation, additivity, expression-level dominance toward parent 1, expression-level dominance toward parent 2); Functional analyses identification overrepresented functional terms gene sets interest.","code":""},{"path":"/index.html","id":"installation-instructions","dir":"","previous_headings":"","what":"Installation instructions","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"Get latest stable R release CRAN. install HybridExpress Bioconductor using following code: development version GitHub :","code":"if (!requireNamespace(\"BiocManager\", quietly = TRUE)) {     install.packages(\"BiocManager\") }  BiocManager::install(\"HybridExpress\") BiocManager::install(\"almeidasilvaf/HybridExpress\")"},{"path":"/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"citation output using citation('HybridExpress') R. Please run check updates cite HybridExpress. Please note HybridExpress made possible thanks many R bioinformatics software authors, cited either vignettes /paper(s) describing package.","code":"print(citation('HybridExpress'), bibtex = TRUE) #> To cite package 'HybridExpress' in publications use: #>  #>   Almeida-Silva F, Prost-Boxoen L, Van de Peer Y (2023). #>   _HybridExpress: Comparative analysis of RNA-seq data for hybrids and #>   their progenitors_. R package version 0.99.0, #>   <https://github.com/almeidasilvaf/HybridExpress>. #>  #> A BibTeX entry for LaTeX users is #>  #>   @Manual{, #>     title = {HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors}, #>     author = {Fabricio Almeida-Silva and Lucas Prost-Boxoen and Yves {Van de Peer}}, #>     year = {2023}, #>     note = {R package version 0.99.0}, #>     url = {https://github.com/almeidasilvaf/HybridExpress}, #>   }"},{"path":"/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"Please note HybridExpress project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"/index.html","id":"development-tools","dir":"","previous_headings":"","what":"Development tools","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"Continuous code testing possible thanks GitHub actions usethis, remotes, rcmdcheck customized use Bioconductor’s docker containers BiocCheck. Code coverage assessment possible thanks codecov covr. documentation website automatically updated thanks pkgdown. documentation formatted thanks devtools roxygen2. package developed using biocthis.","code":""},{"path":"/reference/HybridExpress-package.html","id":null,"dir":"Reference","previous_headings":"","what":"HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package","title":"HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package","text":"HybridExpress can used perform comparative transcriptomics analysis hybrids (allopolyploids) relative progenitor species. package features functions perform exploratory analyses sample grouping, identify differentially expressed genes hybrids relative progenitors, classify genes expression categories (N = 12) classes (N = 5), perform functional analyses. also provide users graphical functions seamless creation publication-ready figures commonly used literature.","code":""},{"path":[]},{"path":"/reference/HybridExpress-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package","text":"Maintainer: Fabricio Almeida-Silva fabricio_almeidasilva@hotmail.com (ORCID) Authors: Lucas Prost-Boxoen (ORCID) Yves Van de Peer yves.vandepeer@psb.vib-ugent.(ORCID)","code":""},{"path":"/reference/add_midparent_expression.html","id":null,"dir":"Reference","previous_headings":"","what":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"Add midparent expression SummarizedExperiment object","code":""},{"path":"/reference/add_midparent_expression.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"","code":"add_midparent_expression(   se,   coldata_column = \"Generation\",   parent1 = \"P1\",   parent2 = \"P2\",   method = \"mean\",   weights = c(1, 1) )"},{"path":"/reference/add_midparent_expression.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"se SummarizedExperiment object count matrix sample metadata. coldata_column Character indicating name column colData(se) information generation stored. Default: \"Generation\". parent1 Character indicating level variable coldata_column represents parent 1. Default: \"P1\". parent2 Character indicating level variable coldata_column represents parent 2. Default: \"P2\". method Character indicating method use create midparent values. One 'mean' (default), 'sum', 'weightedmean'. weights Numeric vector length 2 indicating weights give parents 1 2 (respectively) method == \"weightedmean\". Setting method == \"weightedmean\" used sometimes parents different ploidy levels. cases, ploidy levels parents 1 2 can passed vector. Default: c(1, 2).","code":""},{"path":"/reference/add_midparent_expression.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"SummarizedExperiment object.","code":""},{"path":"/reference/add_midparent_expression.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"","code":"data(se_chlamy) new_se <- add_midparent_expression(se_chlamy)"},{"path":"/reference/add_size_factors.html","id":null,"dir":"Reference","previous_headings":"","what":"Add size factors to normalize count data by library size or by biomass — add_size_factors","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"Add size factors normalize count data library size biomass","code":""},{"path":"/reference/add_size_factors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"","code":"add_size_factors(se, spikein = FALSE, spikein_pattern = \"ERCC\")"},{"path":"/reference/add_size_factors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"se SummarizedExperiment object count matrix sample metadata. spikein Logical indicating whether normalize data using spike-ins. FALSE, data normalized library size. Default: FALSE. spikein_pattern Character pattern (regex) use identify spike-features count matrix. valid spikein_norm = TRUE.","code":""},{"path":"/reference/add_size_factors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"SummarizedExperiment object se, extra column colData slot named \"sizeFactor\". column contains size factors used DESeq2 performing differential expression analyses.","code":""},{"path":"/reference/add_size_factors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"","code":"data(se_chlamy) se_norm <- add_size_factors(se_chlamy)"},{"path":"/reference/deg_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"object obtained get_deg_counts() using example data set deg_list.","code":""},{"path":"/reference/deg_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"","code":"data(deg_counts)"},{"path":"/reference/deg_counts.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"data frame frequencies (absolute relative) - -regulated genes contrast. Relative frequencies calculated relative total number genes count matrix used differential expression analysis.","code":""},{"path":"/reference/deg_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"","code":"data(deg_counts)"},{"path":"/reference/deg_list.html","id":null,"dir":"Reference","previous_headings":"","what":"List of differentially expressed genes for all contrasts — deg_list","title":"List of differentially expressed genes for all contrasts — deg_list","text":"object obtained get_deg_list() using example data set se_chlamy.","code":""},{"path":"/reference/deg_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List of differentially expressed genes for all contrasts — deg_list","text":"","code":"data(deg_list)"},{"path":"/reference/deg_list.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"List of differentially expressed genes for all contrasts — deg_list","text":"list data frames gene-wise test statistics differentially expressed genes contrast. Contrasts \"P2_vs_P1\", \"F1_vs_P1\", \"F1_vs_P2\", \"F1_vs_midparent\", ID 'vs' represents numerator, ID 'vs' represents denominator.","code":""},{"path":"/reference/deg_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List of differentially expressed genes for all contrasts — deg_list","text":"","code":"data(deg_list)"},{"path":"/reference/expression_partitioning.html","id":null,"dir":"Reference","previous_headings":"","what":"Partition genes in groups based on their expression patterns — expression_partitioning","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"Partition genes groups based expression patterns","code":""},{"path":"/reference/expression_partitioning.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"","code":"expression_partitioning(deg_list)"},{"path":"/reference/expression_partitioning.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"deg_list list data frames gene-wise test statistics differentially expressed genes returned get_deg_list().","code":""},{"path":"/reference/expression_partitioning.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"data following variables: Gene Character, gene ID. Category Factor, expression group. Category names numbers 1 12. Class Factor, expression group class. One \"\" (transgressive -regulation), \"\" (transgressive -regulation), \"ADD\" (additivity), \"ELD_P1\" (expression-level dominance toward parent 1), \"ELD_P2\" (expression-level dominance toward parent 2).","code":""},{"path":"/reference/expression_partitioning.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"","code":"data(deg_list) exp_partitions <- expression_partitioning(deg_list)"},{"path":"/reference/get_deg_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Get a count table of differentially expressed genes per contrast — get_deg_counts","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"Get count table differentially expressed genes per contrast","code":""},{"path":"/reference/get_deg_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"","code":"get_deg_counts(deg_list)"},{"path":"/reference/get_deg_counts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"deg_list list data frames gene-wise test statistics differentially expressed genes returned get_deg_list().","code":""},{"path":"/reference/get_deg_counts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"data frame following variables: contrast Character, contrast name. Numeric, number -regulated genes. Numeric, number -regulated genes. total Numeric, total number differentially expressed genes. perc_up Numeric, percentage -regulated genes. perc_down Numeric, percentage -regulated genes. perc_total Numeric, percentage diffferentially expressed genes.","code":""},{"path":"/reference/get_deg_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"","code":"data(deg_list) deg_counts <- get_deg_counts(deg_list)"},{"path":"/reference/get_deg_list.html","id":null,"dir":"Reference","previous_headings":"","what":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"Get table differential expression expression statistics DESeq2","code":""},{"path":"/reference/get_deg_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"","code":"get_deg_list(   se,   coldata_column = \"Generation\",   parent1 = \"P1\",   parent2 = \"P2\",   offspring = \"F1\",   midparent = \"midparent\",   lfcThreshold = 0,   alpha = 0.01,   ... )"},{"path":"/reference/get_deg_list.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"se SummarizedExperiment object count matrix sample metadata. coldata_column Character indicating name column colData(se) information generation stored. Default: \"Generation\". parent1 Character indicating level variable coldata_column represents parent 1. Default: \"P1\". parent2 Character indicating level variable coldata_column represents parent 2. Default: \"P2\". offspring Character indicating level variable coldata_column represents offspring (hybrid allopolyploid). Default: \"F1\" midparent Character indicating level variable coldata_column represents midparent value. Default: \"midparent\", returned add_midparent_expression(). lfcThreshold Numeric indicating log2 fold-change threshold use consider differentially expressed genes. Default: 0. alpha Numeric indicating adjusted P-value threshold use consider differentially expressed genes. Default: 0.01. ... Additional arguments passed DESeq2::results().","code":""},{"path":"/reference/get_deg_list.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"list data frames DESeq2's gene-wise tests statistics contrast. data frame contains columns output DESeq2::results(). Contrasts (list names) : P2_vs_P1 Parent 2 (numerator) versus parent 1 (denominator). F1_vs_P1 Offspring (numerator) versus parent 1 (denominator). F1_vs_P2 Offspring (numerator) versus parent 2 (denominator). F1_vs_midparent Offspring (numerator) versus midparent (denominator). data frame gene-wise test statistics list element contains following variables: baseMean Numeric, base mean. log2FoldChange Numeric, log2-transformed fold changes. lfcSE Numeric, standard error log2-transformed fold changes. stat Numeric, observed test statistic. pvalue Numeric, p-value. padj Numeric, P-value adjusted multiple testing. list contains two additional attributes named ngenes (numeric, total number genes), plotdata, 3-column data frame variables \"gene\" (character, gene ID), \"lFC_F1_vs_P1\" (numeric, log2 fold change F1 P1), \"lFC_F1_vs_P2\" (numeric, log2 fold change F1 P2).","code":""},{"path":"/reference/get_deg_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"","code":"data(se_chlamy) se <- add_midparent_expression(se_chlamy) se <- add_size_factors(se, spikein = TRUE) #> converting counts to integer mode deg_list <- get_deg_list(se) #> using pre-existing size factors #> estimating dispersions #> gene-wise dispersion estimates #> mean-dispersion relationship #> final dispersion estimates #> fitting model and testing"},{"path":"/reference/go_chlamy.html","id":null,"dir":"Reference","previous_headings":"","what":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"Data obtained Phytozome processed row contains one GO term (long format).","code":""},{"path":"/reference/go_chlamy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"","code":"data(go_chlamy)"},{"path":"/reference/go_chlamy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"2-column data frame columns gene (character, gene ID), GO (character, name GO term.)","code":""},{"path":"/reference/go_chlamy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"","code":"data(go_chlamy)"},{"path":"/reference/ora.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform overrepresentation analysis for a set of genes — ora","title":"Perform overrepresentation analysis for a set of genes — ora","text":"Perform overrepresentation analysis set genes","code":""},{"path":"/reference/ora.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform overrepresentation analysis for a set of genes — ora","text":"","code":"ora(   genes,   annotation,   column = NULL,   background,   correction = \"BH\",   alpha = 0.05,   min_setsize = 5,   max_setsize = 500,   bp_param = BiocParallel::SerialParam() )"},{"path":"/reference/ora.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform overrepresentation analysis for a set of genes — ora","text":"genes Character vector containing genes overrepresentation analysis. annotation Annotation data frame genes first column functional annotation columns. data frame can exported Biomart similar databases. column Column columns annotation used enrichment. character numeric values column indices can used. users want supply one column, input character numeric vector. Default: columns annotation. background Character vector genes used background overrepresentation analysis. correction Multiple testing correction method. One \"holm\", \"hochberg\", \"hommel\", \"bonferroni\", \"BH\", \"\", \"fdr\" \"none\". Default \"BH\". alpha Numeric indicating adjusted P-value threshold significance. Default: 0.05. min_setsize Numeric indicating minimum gene set size considered. Gene sets correspond levels variable annotation). Default: 5. max_setsize Numeric indicating maximum gene set size considered. Gene sets correspond levels variable annotation). Default: 500. bp_param BiocParallel back-end used. Default: BiocParallel::SerialParam()","code":""},{"path":"/reference/ora.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform overrepresentation analysis for a set of genes — ora","text":"data frame overrepresentation results following variables: term Character, functional term ID/name. genes Numeric, intersection length input genes genes particular functional term. Numeric, number genes particular functional term. pval Numeric, P-value hypergeometric test. padj Numeric, P-value adjusted multiple comparisons using method specified parameter adj. category Character, name grouping variable (.e., column name annotation).","code":""},{"path":"/reference/ora.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform overrepresentation analysis for a set of genes — ora","text":"","code":"data(se_chlamy) data(go_chlamy) data(deg_list)  # Perform ORA for up-regulated genes in contrast F1_vs_P1 up_genes <- deg_list$F1_vs_P1 up_genes <- rownames(up_genes[up_genes$log2FoldChange > 0, ])  background <- rownames(se_chlamy)  ora(up_genes, go_chlamy, background = background) #>               term genes all         pval       padj category #> 133 dynein complex     8  13 1.924882e-05 0.00802676       GO"},{"path":"/reference/pca_plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"Perform principal component analysis (PCA) plot PCs","code":""},{"path":"/reference/pca_plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"","code":"pca_plot(   se,   PCs = c(1, 2),   ntop = 500,   color_by = NULL,   shape_by = NULL,   add_mean = FALSE,   palette = NULL )"},{"path":"/reference/pca_plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"se SummarizedExperiment object count matrix sample metadata. PCs Numeric vector indicating principal components show x-axis y-axis, respectively. Default: c(1,2). ntop Numeric indicating number top genes highest variances use PCA. Default: 500. color_by Character name column colData(se) use group samples color. Default: NULL. shape_by Character name column colData(se) use group samples shape. Default: NULL. add_mean Logical indicating whether add diamond symbol mean value level variable indicated color_by. Default: FALSE palette Character vector colors use level variable indicated color_by. NULL, default color palette used.","code":""},{"path":"/reference/pca_plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"ggplot object PCA plot showing 2 principal components axis along % variance explained.","code":""},{"path":"/reference/pca_plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"","code":"data(se_chlamy) se <- add_midparent_expression(se_chlamy) se$Ploidy[is.na(se$Ploidy)] <- \"midparent\" se$Generation[is.na(se$Generation)] <- \"midparent\" pca_plot(se, color_by = \"Generation\", shape_by = \"Ploidy\", add_mean = TRUE) #> converting counts to integer mode"},{"path":"/reference/plot_expression_partitions.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot expression partitions — plot_expression_partitions","title":"Plot expression partitions — plot_expression_partitions","text":"Plot expression partitions","code":""},{"path":"/reference/plot_expression_partitions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot expression partitions — plot_expression_partitions","text":"","code":"plot_expression_partitions(   partition_table,   group_by = \"Category\",   palette = NULL,   labels = c(\"P1\", \"F1\", \"P2\") )"},{"path":"/reference/plot_expression_partitions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot expression partitions — plot_expression_partitions","text":"partition_table data frame genes per expression partition returned expression_partitioning(). group_by Character indicating name variable partition_table use group genes. One \"Category\" \"Class\". Default: \"Category\". palette Character vector color names used level variable specified group_by. group_by = \"Category\", must vector length 12. group_by = \"Class\", must vector length 5. NULL, default color palette used. labels character vector length 3 indicating labels given parent 1, offspring, parent 2. Default: c(\"P1\", \"F1\", \"P2\").","code":""},{"path":"/reference/plot_expression_partitions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot expression partitions — plot_expression_partitions","text":"ggplot object plot showing genes expression partition.","code":""},{"path":"/reference/plot_expression_partitions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot expression partitions — plot_expression_partitions","text":"","code":"data(deg_list) partition_table <- expression_partitioning(deg_list) plot_expression_partitions(partition_table)"},{"path":"/reference/plot_expression_triangle.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"Plot triangle comparisons DEG sets among generations","code":""},{"path":"/reference/plot_expression_triangle.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"","code":"plot_expression_triangle(deg_counts, palette = NULL, box_labels = NULL)"},{"path":"/reference/plot_expression_triangle.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"deg_counts Data frame number differentially expressed genes per contrast returned get_deg_counts. palette Character vector length 4 indicating colors boxes P1, P2, F1, midparent, respectively. NULL, default color palette used. box_labels Character vector length 4 indicating labels boxes P1, P2, F1, midparent, respectively. Default: NULL, lead labels \"P1\", \"P2\", \"F1\", \"Midparent\", respectively.","code":""},{"path":"/reference/plot_expression_triangle.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"ggplot object expression triangle.","code":""},{"path":"/reference/plot_expression_triangle.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"expression triangle plot shows number differentially expressed genes (DEGs) contrast. Numbers center lines (bold) indicate total number DEGs, numbers near boxes indicate number -regulated genes generation triangle.","code":""},{"path":"/reference/plot_expression_triangle.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"","code":"data(deg_counts) plot_expression_triangle(deg_counts)"},{"path":"/reference/plot_partition_frequencies.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"Plot barplot gene frequencies per expression partition","code":""},{"path":"/reference/plot_partition_frequencies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"","code":"plot_partition_frequencies(   partition_table,   group_by = \"Category\",   palette = NULL,   labels = c(\"P1\", \"F1\", \"P2\") )"},{"path":"/reference/plot_partition_frequencies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"partition_table data frame genes per expression partition returned expression_partitioning(). group_by Character indicating name variable partition_table use group genes. One \"Category\" \"Class\". Default: \"Category\". palette Character vector color names used level variable specified group_by. group_by = \"Category\", must vector length 12. group_by = \"Class\", must vector length 5. NULL, default color palette used. labels character vector length 3 indicating labels given parent 1, offspring, parent 2. Default: c(\"P1\", \"F1\", \"P2\").","code":""},{"path":"/reference/plot_partition_frequencies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"ggplot object barplot showing gene frequencies per partition next explanatory line plots depicting partition.","code":""},{"path":"/reference/plot_partition_frequencies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"","code":"data(deg_list) partition_table <- expression_partitioning(deg_list) plot_partition_frequencies(partition_table)"},{"path":"/reference/plot_samplecor.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"Plot heatmap pairwise sample correlations hierarchical clustering","code":""},{"path":"/reference/plot_samplecor.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"","code":"plot_samplecor(   se,   coldata_cols = NULL,   rowdata_cols = NULL,   ntop = 500,   cor_method = \"pearson\",   palette = \"Blues\",   ... )"},{"path":"/reference/plot_samplecor.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"se SummarizedExperiment object count matrix sample metadata colData slot. rowData slot available, can also used clustering rows. coldata_cols vector (either numeric character) indicating columns extracted colData(se). rowdata_cols vector (either numeric character) indicating columns extracted rowData(se). ntop Numeric indicating number top genes highest variances use PCA. Default: 500. cor_method Character indicating correlation method use. One \"pearson\" \"spearman\". Default: \"pearson\". palette Character indicating name color palette RColorBrewer package use. Default: \"Blues\". ... Additional arguments passed ComplexHeatmap::pheatmap(). arguments can used control heatmap aesthetics, show/hide row column names, change font size, activate/deactivate hierarchical clustering, etc. complete list options, see ?ComplexHeatmap::pheatmap().","code":""},{"path":"/reference/plot_samplecor.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"heatmap hierarchically clustered pairwise sample correlations.","code":""},{"path":"/reference/plot_samplecor.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"","code":"data(se_chlamy) se <- add_midparent_expression(se_chlamy) se$Ploidy[is.na(se$Ploidy)] <- \"midparent\" se$Generation[is.na(se$Generation)] <- \"midparent\" plot_samplecor(se, ntop = 500) #> converting counts to integer mode"},{"path":"/reference/se_chlamy.html","id":null,"dir":"Reference","previous_headings":"","what":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"Two lines (referred parent 1 parent 2) different ploidy levels crossed generate allopolyploid (F1).","code":""},{"path":"/reference/se_chlamy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"","code":"data(se_chlamy)"},{"path":"/reference/se_chlamy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"SummarizedExperiment object assay (count) colData.","code":""},{"path":"/reference/se_chlamy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"","code":"data(se_chlamy)"},{"path":"/news/index.html","id":"hybridexpress-0990","dir":"Changelog","previous_headings":"","what":"HybridExpress 0.99.0","title":"HybridExpress 0.99.0","text":"NEW FEATURES Added NEWS.md file track changes package.","code":""}]
+[{"path":"/SUPPORT.html","id":null,"dir":"","previous_headings":"","what":"Getting help with HybridExpress","title":"Getting help with HybridExpress","text":"Thank using HybridExpress! filing issue, things know make process smooth possible parties.","code":""},{"path":"/SUPPORT.html","id":"make-a-reprex","dir":"","previous_headings":"","what":"Make a reprex","title":"Getting help with HybridExpress","text":"Start making minimally reproducible example, also known ‘reprex’. may use reprex R package create one, though necessary help. make R-question-asking endeavors easier. Learning use takes 5 10 minutes. tips make minimally reproducible example, see StackOverflow link.","code":""},{"path":"/SUPPORT.html","id":"where-to-post-it","dir":"","previous_headings":"","what":"Where to post it?","title":"Getting help with HybridExpress","text":"Bioconductor help web page gives overview places may help answer question. Bioconductor software related questions, bug reports feature requests, addressed appropriate Bioconductor/HybridExpress GitHub repository. Follow bug report feature request templates GitHub. package GitHub repository, see next bullet point. Bioconductor software usage questions addressed Bioconductor Support Website. Make sure use appropriate package tag, otherwise package authors get notification. General R questions can posed StackOverflow RStudio Community website especially pertain tidyverse RStudio GUI related products.","code":""},{"path":"/SUPPORT.html","id":"issues-or-feature-requests","dir":"","previous_headings":"","what":"Issues or Feature Requests","title":"Getting help with HybridExpress","text":"opening new issue feature request, sure search issues pull requests ensure one already exist implemented development version. Note. can remove :open search term issues page search open closed issues. See link learn modifying search.","code":""},{"path":"/SUPPORT.html","id":"what-happens-next","dir":"","previous_headings":"","what":"What happens next?","title":"Getting help with HybridExpress","text":"Bioconductor maintainers limited resources strive responsive possible. Please forget tag appropriate maintainer issue GitHub username (e.g., @username). order make easy possible Bioconductor core developers remediate issue. Provide accurate, brief, reproducible report outlined issue templates. Thank trusting Bioconductor.","code":""},{"path":"/articles/HybridExpress.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"formation hybrids fusion distinct genomes subsequent genome duplication (cases allopolyploidy) represents significant evolutionary event complex effects cellular biology, particularly gene expression. impact genome mergings duplications transcription remain incompletely understood. bridge gap, introduce HybridExpress, comprehensive package designed facilitate comparative transcriptomic analysis hybrids progenitor species. HybridExpress tailored RNA-Seq data derived ‘hybrid triplet’: hybrid organism two parental species. package offers suite intuitive functions enabling researchers perform differential expression analysis ease, generate principal component analysis (PCA) plots visualize sample grouping, categorize genes 12 distinct expression pattern groups (Rapp, Udall, Wendel (2009)), conduct functional analyses. Acknowledging potential variability cell transcriptome size across species ploidy levels, HybridExpress incorporates features rigorous normalization count data. Specifically, allows integration spike-controls directly normalization process, ensuring accurate transcriptome size adjustments standards present RNA-Seq count data (see full methodology Coate (2023)). offering capabilities, HybridExpress provides robust tool set unraveling intricate effects genome doubling merging gene expression, paving way novel insights cellular biology hybrid organisms.","code":""},{"path":"/articles/HybridExpress.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"HybridExpress can installed Bioconductor following code:","code":"if(!requireNamespace('BiocManager', quietly = TRUE))   install.packages('BiocManager')  BiocManager::install(\"HybridExpress\") # Load package after installation library(HybridExpress)  set.seed(123) # for reproducibility"},{"path":"/articles/HybridExpress.html","id":"data-description","dir":"Articles","previous_headings":"","what":"Data description","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"vignette, use example data set comprises (unpublished) gene expression data (counts) Chlamydomonas reinhardtii. lab, crossed diploid line C. reinhardtii (hereafter “P1”) haploid line (hereafter “P2”), thus generating triploid line merging two parental genomes. count matrix sample metadata stored SummarizedExperiment objects, standard Bioconductor data structure required HybridExpress. instructions create SummarizedExperiment object, check FAQ section vignette. Let’s load example data take quick look : can see, count matrix contains 13058 genes 18 samples, 6 replicates parent 1 (P1, diploid), 6 replicates parent 2 (P2, haploid), 6 replicates progeny (F1, triploid).","code":"library(SummarizedExperiment)  # Load data data(se_chlamy)  # Inspect the `SummarizedExperiment` object se_chlamy #> class: SummarizedExperiment  #> dim: 13058 18  #> metadata(0): #> assays(1): counts #> rownames(13058): Cre01.g000050 Cre01.g000150 ... ERCC-00170 ERCC-00171 #> rowData names(0): #> colnames(18): S1 S2 ... S17 S18 #> colData names(2): Ploidy Generation  ## Take a look at the colData and count matrix colData(se_chlamy) #> DataFrame with 18 rows and 2 columns #>          Ploidy Generation #>     <character>   <factor> #> S1      diploid         P1 #> S2      diploid         P1 #> S3      diploid         P1 #> S4      diploid         P1 #> S5      diploid         P1 #> ...         ...        ... #> S14    triploid         F1 #> S15    triploid         F1 #> S16    triploid         F1 #> S17    triploid         F1 #> S18    triploid         F1 assay(se_chlamy) |> head() #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 #> Cre01.g000050   29   22   21   16 #> Cre01.g000150   37   17   24   21 #> Cre01.g000200   24   26   18   21 #> Cre01.g000250  358  339  340  332 #> Cre01.g000300 1524 1720 1517 1243 #> Cre01.g000350  276  324  246  275  table(se_chlamy$Ploidy, se_chlamy$Generation) #>            #>            F1 P1 P2 #>   diploid   0  6  0 #>   haploid   0  0  6 #>   triploid  6  0  0"},{"path":"/articles/HybridExpress.html","id":"adding-midparent-expression-values","dir":"Articles","previous_headings":"","what":"Adding midparent expression values","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"First , ’d want add count matrix silico samples contain expression values midparent. can done function add_midparent_expression(), takes random sample pair (one sample parent, sampling without replacement) calculates midparent expression value one three ways: Mean (default): get mean expression two samples. Sum: get sum two samples. Weighted mean: get weighted mean two samples multiplying expression value parent weight. Typically, can used two parents different ploidy levels, weights correspond ploidy level parent. function, besides specifying method obtain midparent expression values (.e., “mean”, “sum”, “weightedmean”), users must also specify name column colData contains information generations (default: “Generation”), well levels corresponding parent (default: “P1” “P2” parents 1 2, respectively). proceed analyses midparent expression values obtained mean counts, stored se object.","code":"# Add midparent expression using the mean of the counts se <- add_midparent_expression(se_chlamy) head(assay(se)) #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> Cre01.g000050   29   22   21   16         18         27         14         20 #> Cre01.g000150   37   17   24   21         32         46         38         56 #> Cre01.g000200   24   26   18   21         19         22         20         18 #> Cre01.g000250  358  339  340  332        310        372        273        284 #> Cre01.g000300 1524 1720 1517 1243       1030       1331       1072       1166 #> Cre01.g000350  276  324  246  275        242        316        242        268 #>               midparent5 midparent6 #> Cre01.g000050         18         22 #> Cre01.g000150         31         46 #> Cre01.g000200         16         24 #> Cre01.g000250        278        348 #> Cre01.g000300       1076       1182 #> Cre01.g000350        242        304  # Alternative 1: using the sum of the counts add_midparent_expression(se_chlamy, method = \"sum\") |>     assay() |>      head() #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> Cre01.g000050   29   22   21   16         43         26         58         46 #> Cre01.g000150   37   17   24   21         86         25         86        140 #> Cre01.g000200   24   26   18   21         38         24         50         41 #> Cre01.g000250  358  339  340  332        666        518        810        587 #> Cre01.g000300 1524 1720 1517 1243       2557       1893       2629       2373 #> Cre01.g000350  276  324  246  275        527        453        668        531 #>               midparent5 midparent6 #> Cre01.g000050         37         27 #> Cre01.g000150         96         62 #> Cre01.g000200         51         34 #> Cre01.g000250        714        432 #> Cre01.g000300       2548       1716 #> Cre01.g000350        633        419  # Alternative 2: using the weighted mean of the counts (weights = ploidy) w <- c(2, 1) # P1 = diploid; P2 = haploid add_midparent_expression(se_chlamy, method = \"weightedmean\", weights = w) |>     assay() |>      head() #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> Cre01.g000050   29   22   21   16         25         29         39         22 #> Cre01.g000150   37   17   24   21         27         30         29         16 #> Cre01.g000200   24   26   18   21         27         32         33         21 #> Cre01.g000250  358  339  340  332        181        232        270        210 #> Cre01.g000300 1524 1720 1517 1243       1453       1576       1753       1532 #> Cre01.g000350  276  324  246  275        166        202        223        165 #>               midparent5 midparent6 #> Cre01.g000050         26         17 #> Cre01.g000150         48         15 #> Cre01.g000200         29         17 #> Cre01.g000250        202        148 #> Cre01.g000300       1705       1125 #> Cre01.g000350        186        136"},{"path":"/articles/HybridExpress.html","id":"normalizing-count-data","dir":"Articles","previous_headings":"","what":"Normalizing count data","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"normalize count data, function add_size_factors() calculates size factors (used DESeq2 normalization) adds extra column colData slot SummarizedExperiment object. size factors calculated using one two methods: library size (default) using ‘median ratios’ method implemented DESeq2. cell size/biomass using spike-controls (available). spike-controls present count matrix, can use normalization setting spikein = TRUE specifying pattern used indicate rows contain spike-ins (usually start ERCC)1. Normalization spike-controls particularly useful amount mRNA per cell equal generations (due , instance, different ploidy levels, turn can lead different cell sizes /biomass). example data set, spike-controls available last rows count matrix. Let’s take look . can see, rows spike-counts start “ERCC”. Let’s add size factors SummarizedExperiment object using spike-controls.","code":"# Show last rows of the count matrix assay(se) |>      tail() #>              S1   S2   S3   S4   S5   S6   S7   S8   S9  S10  S11  S12  S13 #> ERCC-00163   74   75   55   77   51   84  132  127   93  108   79  102   66 #> ERCC-00164    0    4    0    1    4    1    6    4    1    4    3    2    5 #> ERCC-00165  147  139   87  165  118  179  236  246  139  218  176  145  118 #> ERCC-00168    2    5    2    2    2    6    5    1    1    5    0    3    4 #> ERCC-00170   97   95   73  101   70  118  186  148  110  167  110  103   72 #> ERCC-00171 4644 4959 3554 5357 4170 5946 8207 7915 4992 7843 6455 5884 4537 #>             S14  S15  S16  S17  S18 midparent1 midparent2 midparent3 midparent4 #> ERCC-00163   67   62   80   88   47         67         96        101         90 #> ERCC-00164    4    3    5    4    2          2          2          4          2 #> ERCC-00165  143  115  185  192  136        132        198        192        155 #> ERCC-00168    6    2   11    5    2          1          6          3          2 #> ERCC-00170   99   64  121  103   84         92        142        122        102 #> ERCC-00171 5665 4598 6168 5771 4747       5004       6894       6437       5620 #>            midparent5 midparent6 #> ERCC-00163         92         84 #> ERCC-00164          5          0 #> ERCC-00165        177        143 #> ERCC-00168          4          2 #> ERCC-00170        128        104 #> ERCC-00171       6188       4818 # Take a look at the original colData colData(se) #> DataFrame with 24 rows and 2 columns #>                 Ploidy Generation #>            <character>   <factor> #> S1             diploid         P1 #> S2             diploid         P1 #> S3             diploid         P1 #> S4             diploid         P1 #> S5             diploid         P1 #> ...                ...        ... #> midparent2          NA  midparent #> midparent3          NA  midparent #> midparent4          NA  midparent #> midparent5          NA  midparent #> midparent6          NA  midparent  # Add size factors estimated from spike-in controls se <- add_size_factors(se, spikein = TRUE, spikein_pattern = \"ERCC\") #> converting counts to integer mode  # Take a look at the new colData colData(se) #> DataFrame with 24 rows and 3 columns #>                 Ploidy Generation sizeFactor #>            <character>   <factor>  <numeric> #> S1             diploid         P1   0.856262 #> S2             diploid         P1   0.938417 #> S3             diploid         P1   0.648653 #> S4             diploid         P1   0.969369 #> S5             diploid         P1   0.718761 #> ...                ...        ...        ... #> midparent2          NA  midparent   1.278078 #> midparent3          NA  midparent   1.201072 #> midparent4          NA  midparent   1.000892 #> midparent5          NA  midparent   1.186773 #> midparent6          NA  midparent   0.871889"},{"path":"/articles/HybridExpress.html","id":"exploratory-data-analyses","dir":"Articles","previous_headings":"","what":"Exploratory data analyses","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"Next, can perform exploratory analyses sample clustering verify samples group expected. HybridExpress, can performed using two functions: pca_plot(): creates principal component analysis (PCA) plots, colors shapes (optional) mapped levels colData variables; plot_samplecor(): plots heatmap hierarchically clustered pairwise sample correlations. Let’s start PCA plot:  plot , data point corresponds sample, colors shapes mapped levels variables specified arguments color_by shape_by, respectively. Besides, specifying add_mean = TRUE, added diamond shape indicating mean PC coordinates based variable color_by (, “Generation”). Now, let’s plot heatmap sample correlations:  can see samples group well together PCA plot correlation heatmap. note, pca_plot() plot_samplecor() use top 500 genes highest variances create plot. genes low variances (.e., genes vary much across samples) uninformative typically add noise. can change number (use less genes) ntop argument functions.","code":"# For colData rows with missing values (midparent samples), add \"midparent\" se$Ploidy[is.na(se$Ploidy)] <- \"midparent\" se$Generation[is.na(se$Generation)] <- \"midparent\"  # Create PCA plot pca_plot(se, color_by = \"Generation\", shape_by = \"Ploidy\", add_mean = TRUE) # Plot a heatmap of sample correlations plot_samplecor(se, coldata_cols = c(\"Generation\", \"Ploidy\"))"},{"path":"/articles/HybridExpress.html","id":"identifying-differentially-expressed-genes-between-hybrids-and-their-parents","dir":"Articles","previous_headings":"","what":"Identifying differentially expressed genes between hybrids and their parents","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"compare gene expression levels hybrids progenitor species, can use function get_deg_list(). function performs differential expression analyses using DESeq2 returns list data frames gene-wise test statistics following contrasts: P2_vs_P1: parent 2 (numerator) versus parent 1 (denominator). F1_vs_P1: hybrid (numerator) versus parent 1 (denominator). F1_vs_P2: hybrid (numerator) versus parent 2 (denominator). F1_vs_midparent: hybrid (numerator) vs midparent (denominator). size factors estimated add_size_factors() used normalization differential expression testing. Let’s use get_deg_list() get differentially expressed genes (DEGs) contrast. summarize frequencies - -regulated genes per contrast single data frame, use function get_deg_counts(). important note columns perc_up, perc_down, perc_total show percentages -regulated, -regulated, differentially expressed genes relative total number genes count matrix. total number genes count matrix stored ngenes attribute list returned get_deg_list(): However, since count matrix usually include genes genome (e.g., lowly expressed genes genes low variance usually filtered ), percentages perc_up, perc_down, perc_total relative total number genes genome. use total number genes genome reference, need update ngenes attribute DEG list appropriate number follows: , can run get_deg_counts() get percentages relative total number genes genome. Finally, can summarize everything single publication-ready figure using plot plot_expression_triangle(), shows ‘experimental trio’ (.e., hybrid progenitors) triangle, frequencies DEGs indicated.  figure commonly used publications, inspired Rapp, Udall, Wendel (2009). edge (line), numbers middle (bold) indicate frequency DEGs, numbers ends (close boxes) indicate frequency -regulated genes generation. instance, figure shows , contrast F1 P1, 5476 DEGs (32.4% genome), 1471 -regulated F1, 4005 -regulated P1. custom figure, can also specify color palette labels boxes. example:","code":"# Get a list of differentially expressed genes for each contrast deg_list <- get_deg_list(se) #> using pre-existing size factors #> estimating dispersions #> gene-wise dispersion estimates #> mean-dispersion relationship #> final dispersion estimates #> fitting model and testing  # Inspecting the output ## Getting contrast names names(deg_list) #> [1] \"P2_vs_P1\"        \"F1_vs_P1\"        \"F1_vs_P2\"        \"F1_vs_midparent\"  ## Accessing gene-wise test statistics for contrast `F1_vs_P1` head(deg_list$F1_vs_P1) #>                baseMean log2FoldChange     lfcSE      stat       pvalue #> Cre01.g000450  39.59273     -1.1632346 0.2165407 -5.371898 7.791211e-08 #> Cre01.g000750 103.10296      0.8807307 0.1842856  4.779162 1.760270e-06 #> Cre01.g000900 471.44084      0.6807925 0.1980730  3.437079 5.880239e-04 #> Cre01.g001000  10.34574     -6.6304915 0.9631384 -6.884256 5.809030e-12 #> Cre01.g001100 453.87151     -0.6457115 0.1506903 -4.285025 1.827187e-05 #> Cre01.g001200 159.03643      0.7231060 0.1946090  3.715685 2.026536e-04 #>                       padj #> Cre01.g000450 4.653531e-07 #> Cre01.g000750 8.329159e-06 #> Cre01.g000900 1.707442e-03 #> Cre01.g001000 6.659069e-11 #> Cre01.g001100 7.200448e-05 #> Cre01.g001200 6.453951e-04  ## Counting the number of DEGs per contrast sapply(deg_list, nrow) #>        P2_vs_P1        F1_vs_P1        F1_vs_P2 F1_vs_midparent  #>            8698            5476            7350            4348 # Get a data frame with DEG frequencies for each contrast deg_counts <- get_deg_counts(deg_list)  deg_counts #>          contrast   up down total perc_up perc_down perc_total #> 1        P2_vs_P1  828 7870  8698     6.4      60.7       67.1 #> 2        F1_vs_P1 1471 4005  5476    11.3      30.9       42.2 #> 3        F1_vs_P2 6487  863  7350    50.0       6.7       56.7 #> 4 F1_vs_midparent 2620 1728  4348    20.2      13.3       33.5 attributes(deg_list)$ngenes #> [1] 12966 # Total number of genes in the C. reinhardtii genome (v6.1): 16883 attributes(deg_list)$ngenes <- 16883 deg_counts <- get_deg_counts(deg_list) deg_counts #>          contrast   up down total perc_up perc_down perc_total #> 1        P2_vs_P1  828 7870  8698     4.9      46.6       51.5 #> 2        F1_vs_P1 1471 4005  5476     8.7      23.7       32.4 #> 3        F1_vs_P2 6487  863  7350    38.4       5.1       43.5 #> 4 F1_vs_midparent 2620 1728  4348    15.5      10.2       25.8 # Plot expression triangle plot_expression_triangle(deg_counts) # Create vectors (length 4) of colors and box labels pal <- c(\"springgreen4\", \"darkorange3\", \"mediumpurple4\", \"mediumpurple3\") labels <- c(\"Parent 1\\n(2n)\", \"Parent 2\\n(n)\", \"Progeny\\n(3n)\", \"Midparent\")  plot_expression_triangle(deg_counts, palette = pal, box_labels = labels)"},{"path":"/articles/HybridExpress.html","id":"expression-based-gene-classification","dir":"Articles","previous_headings":"","what":"Expression-based gene classification","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"identifying DEGs different contrasts, ’d typically want classify genes expression partitions based expression patterns. can performed function expression_partitioning(), classifies genes one 12 categories Rapp, Udall, Wendel (2009), 5 major classes summarize 12 categories. five classes : Transgressive -regulation (): gene -regulated hybrid compared parents. Transgressive -regulation (): gene -regulated hybrid compared parents. Additivity (ADD): gene expression hybrid mean parents (additive effect). Expression-level dominance toward parent 1 (ELD_P1): gene expression hybrid parent 1, different parent 2. Expression-level dominance toward parent 2 (ELD_P2): gene expression hybrid parent 2, different parent 1. visualize expression partitions scatter plot expression divergences, can use function plot_expression_partitions().  default, genes grouped Category. However, can also group genes Class follows:  can also visualize frequencies genes partition function plot_partition_frequencies().","code":"# Classify genes in expression partitions exp_partitions <- expression_partitioning(deg_list)  # Inspect the output head(exp_partitions) #>            Gene Category Class lFC_F1_vs_P1 lFC_F1_vs_P2 #> 1 Cre01.g003650        1   ADD    0.7838125   -1.0484464 #> 2 Cre01.g005150        1   ADD    1.0473362   -0.5041601 #> 3 Cre01.g008600        1   ADD    5.0518384   -1.4840829 #> 4 Cre01.g013500        1   ADD    2.1099265   -1.5329846 #> 5 Cre01.g034850        1   ADD    1.5838851   -0.7611868 #> 6 Cre01.g800005        1   ADD    1.4928449   -0.9315119  # Count number of genes per category table(exp_partitions$Category) #>  #>    1    2    3    4    5    6    7    8    9   10   11   12  #>   70  262   66 3283   77  287  214  651  280  147 1760 1666  # Count number of genes per class table(exp_partitions$Class) #>  #>     UP   DOWN    ADD ELD_P1 ELD_P2  #>   1015    427   1736   3563   2022 # Plot partitions as a scatter plot of divergences plot_expression_partitions(exp_partitions, group_by = \"Category\") # Group by `Class` plot_expression_partitions(exp_partitions, group_by = \"Class\") # Visualize frequency of genes in each partition ## By `Category` (default) plot_partition_frequencies(exp_partitions) ## By `Class` plot_partition_frequencies(exp_partitions, group_by = \"Class\")"},{"path":"/articles/HybridExpress.html","id":"overrepresentation-analysis-of-functional-terms","dir":"Articles","previous_headings":"","what":"Overrepresentation analysis of functional terms","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"Lastly, ’d want explore whether gene sets interest (e.g., -regulated genes contrast) enriched particular GO term, pathway, protein domain, etc. , use function ora(), performs overrepresentation analysis gene set given data frame functional annotation gene. , use example data set GO annotation C. reinhardtii genes. data set illustrates annotation data frame must shaped: gene ID first column, functional annotations columns. demonstrate usage ora(), let’s check can find enrichment GO term among genes assigned class “ADD”.","code":"# Load example functional annotation (GO terms) data(go_chlamy)  head(go_chlamy) #>            gene                                           GO #> 1 Cre01.g000050                                         <NA> #> 2 Cre01.g000100                                         <NA> #> 3 Cre01.g000150                                     membrane #> 4 Cre01.g000150                          metal ion transport #> 5 Cre01.g000150 metal ion transmembrane transporter activity #> 6 Cre01.g000150                      transmembrane transport # Get a vector of genes in class \"ADD\" genes_add <- exp_partitions$Gene[exp_partitions$Class == \"ADD\"] head(genes_add) #> [1] \"Cre01.g003650\" \"Cre01.g005150\" \"Cre01.g008600\" \"Cre01.g013500\" #> [5] \"Cre01.g034850\" \"Cre01.g800005\"  # Get background genes - genes in the count matrix bg <- rownames(se)  # Perform overrepresentation analysis ora_add <- ora(genes_add, go_chlamy, background = bg)  # Inspect results head(ora_add) #>                                                   term genes all         pval #> 20                      aminoacyl-tRNA ligase activity    14  33 3.811521e-05 #> 84                                           cytoplasm    43 151 7.379762e-07 #> 97                                     DNA replication    17  37 1.471956e-06 #> 114                             endopeptidase activity     6  10 7.400151e-04 #> 115                              endoplasmic reticulum     9  17 1.193854e-04 #> 118 eukaryotic translation initiation factor 3 complex     7   9 2.144087e-05 #>             padj category #> 20  1.766005e-03       GO #> 84  7.693402e-05       GO #> 97  1.227611e-04       GO #> 114 2.204188e-02       GO #> 115 4.978369e-03       GO #> 118 1.277263e-03       GO"},{"path":"/articles/HybridExpress.html","id":"example-1-overrepresentation-analyses-for-all-expression-based-classes","dir":"Articles","previous_headings":"Overrepresentation analysis of functional terms","what":"Example 1: overrepresentation analyses for all expression-based classes","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"example , performed overrepresentation analysis genes associated class “ADD”. wanted classes? case, run ora() multiple times looping class. details, following: class, create vector genes associated ; Run ora() get data frame ORA results. can find example using lapply(). Results class stored elements list object. expression-based category (class), ’d need replace Class Category split() function (see example ).","code":"# Create a list of genes in each class genes_by_class <- split(exp_partitions$Gene, exp_partitions$Class)  names(genes_by_class) #> [1] \"UP\"     \"DOWN\"   \"ADD\"    \"ELD_P1\" \"ELD_P2\" head(genes_by_class$UP) #> [1] \"Cre01.g029250\" \"Cre01.g034380\" \"Cre01.g036700\" \"Cre01.g049400\" #> [5] \"Cre02.g085500\" \"Cre02.g087150\"  # Iterate through each class and perform ORA ora_classes <- lapply(     genes_by_class, # list through which we will iterate     ora, # function we will apply to each element of the list     annotation = go_chlamy, background = bg # additional arguments to function )  # Inspect output ora_classes #> $UP #>                                    term genes all         pval         padj #> 29              ATP hydrolysis activity    21 119 3.380614e-04 0.0469905310 #> 109                      dynein complex     8  13 1.237752e-06 0.0005161427 #> 127 flavin adenine dinucleotide binding    11  42 2.857201e-04 0.0469905310 #>     category #> 29        GO #> 109       GO #> 127       GO #>  #> $DOWN #>                                  term genes all         pval         padj #> 242           oxidoreductase activity    21 274 2.931239e-04 2.444654e-02 #> 271                    photosynthesis    13  58 3.656759e-08 7.624343e-06 #> 272  photosynthesis, light harvesting    18  24 1.638332e-22 6.831844e-20 #> 276                     photosystem I     5  15 8.644389e-05 9.011776e-03 #> 376 tetrapyrrole biosynthetic process     5   8 1.952599e-06 2.714112e-04 #>     category #> 242       GO #> 271       GO #> 272       GO #> 276       GO #> 376       GO #>  #> $ADD #>                                                                                      term #> 20                                                         aminoacyl-tRNA ligase activity #> 84                                                                              cytoplasm #> 97                                                                        DNA replication #> 114                                                                endopeptidase activity #> 115                                                                 endoplasmic reticulum #> 118                                    eukaryotic translation initiation factor 3 complex #> 165                                                       intracellular protein transport #> 227                                                                          nuclear pore #> 250 oxidoreductase activity, acting on the CH-OH group of donors, NAD or NADP as acceptor #> 284                                                                     prefoldin complex #> 287                                                               proteasome core complex #> 293                                                                       protein folding #> 294                                                                 protein glycosylation #> 304                                                                     protein refolding #> 390                                                translation initiation factor activity #> 410                                                              unfolded protein binding #> 414                                                            vesicle-mediated transport #>     genes all         pval         padj category #> 20     14  33 3.811521e-05 1.766005e-03       GO #> 84     43 151 7.379762e-07 7.693402e-05       GO #> 97     17  37 1.471956e-06 1.227611e-04       GO #> 114     6  10 7.400151e-04 2.204188e-02       GO #> 115     9  17 1.193854e-04 4.978369e-03       GO #> 118     7   9 2.144087e-05 1.277263e-03       GO #> 165    25  73 4.442015e-06 3.087201e-04       GO #> 227     6   9 3.339022e-04 1.160310e-02       GO #> 250    10  27 1.739601e-03 4.533836e-02       GO #> 284     4   4 3.203862e-04 1.160310e-02       GO #> 287     9  15 3.165895e-05 1.650223e-03       GO #> 293    29  81 2.663812e-07 3.702698e-05       GO #> 294     6  10 7.400151e-04 2.204188e-02       GO #> 304    10  10 1.809949e-09 7.547489e-07       GO #> 390     9  21 8.722652e-04 2.424897e-02       GO #> 410    19  38 6.478683e-08 1.350805e-05       GO #> 414    13  41 1.955735e-03 4.797302e-02       GO #>  #> $ELD_P1 #>                term genes all         pval        padj category #> 38          binding    88 208 2.494608e-06 0.001040251       GO #> 239         nucleus    77 193 1.141172e-04 0.023793431       GO #> 345 rRNA processing    15  24 3.464517e-04 0.048156786       GO #>  #> $ELD_P2 #>                                                                term genes all #> 28                             aspartic-type endopeptidase activity     6   8 #> 170                                                iron ion binding    30  93 #> 242                                         oxidoreductase activity    71 274 #> 271                                                  photosynthesis    26  58 #> 278                                                  photosystem II    17  32 #> 320 proton-transporting two-sector ATPase complex, catalytic domain     6   8 #>             pval         padj category #> 28  3.007465e-04 2.090188e-02       GO #> 170 4.577693e-05 4.772245e-03       GO #> 242 6.069186e-06 8.436168e-04       GO #> 271 1.191954e-07 4.970448e-05       GO #> 278 9.602908e-07 2.002206e-04       GO #> 320 3.007465e-04 2.090188e-02       GO"},{"path":"/articles/HybridExpress.html","id":"example-2-overrepresentation-analyses-for-differentially-expressed-genes","dir":"Articles","previous_headings":"Overrepresentation analysis of functional terms","what":"Example 2: overrepresentation analyses for differentially expressed genes","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"can use lapply() loop expression class, can also loop contrast list returned get_deg_list(), perform ORA - -regulated genes. can find example: Likewise, -regulated genes, need replace > symbol < symbol anonymous function subset rows.","code":"# Get up-regulated genes for each contrast up_genes <- lapply(deg_list, function(x) rownames(x[x$log2FoldChange > 0, ])) names(up_genes) #> [1] \"P2_vs_P1\"        \"F1_vs_P1\"        \"F1_vs_P2\"        \"F1_vs_midparent\" head(up_genes$F1_vs_P1) #> [1] \"Cre01.g000750\" \"Cre01.g000900\" \"Cre01.g001200\" \"Cre01.g002750\" #> [5] \"Cre01.g003524\" \"Cre01.g003650\"  # Perform ORA ora_up <- lapply(     up_genes,     ora,     annotation = go_chlamy, background = bg )  ora_up #> $P2_vs_P1 #> [1] term     genes    all      pval     padj     category #> <0 rows> (or 0-length row.names) #>  #> $F1_vs_P1 #>               term genes all         pval        padj category #> 109 dynein complex     8  13 2.049704e-05 0.008547264       GO #>  #> $F1_vs_P2 #>                                              term genes all         pval #> 38                                        binding   138 208 1.214715e-06 #> 96                                     DNA repair    56  83 9.520576e-04 #> 144                                   GTP binding    72 111 1.095054e-03 #> 169                                 ion transport    33  45 1.225270e-03 #> 209                     microtubule-based process    10  10 9.792020e-04 #> 239                                       nucleus   125 193 2.252487e-05 #> 303                        protein polymerization    10  10 9.792020e-04 #> 304                             protein refolding    10  10 9.792020e-04 #> 307 protein serine/threonine phosphatase activity    20  24 7.724253e-04 #> 338                                   RNA binding   101 157 1.948736e-04 #> 384                  transcription, DNA-templated    28  36 5.951883e-04 #>            padj category #> 38  0.000506536       GO #> 96  0.045369693       GO #> 144 0.045663753       GO #> 169 0.046448881       GO #> 209 0.045369693       GO #> 239 0.004696435       GO #> 303 0.045369693       GO #> 304 0.045369693       GO #> 307 0.045369693       GO #> 338 0.027087430       GO #> 384 0.045369693       GO #>  #> $F1_vs_midparent #>                                              term genes all         pval #> 80         cyclic nucleotide biosynthetic process    38 108 1.983329e-04 #> 109                                dynein complex     9  13 1.789139e-04 #> 166             intracellular signal transduction    38 110 3.036659e-04 #> 168                          ion channel activity    20  48 5.611617e-04 #> 169                                 ion transport    21  45 5.765412e-05 #> 290                     protein dephosphorylation    21  44 3.792684e-05 #> 307 protein serine/threonine phosphatase activity    15  24 7.437911e-06 #>            padj category #> 80  0.016540962       GO #> 109 0.016540962       GO #> 166 0.021104781       GO #> 168 0.033429202       GO #> 169 0.008013923       GO #> 290 0.007907747       GO #> 307 0.003101609       GO"},{"path":"/articles/HybridExpress.html","id":"faq","dir":"Articles","previous_headings":"","what":"FAQ","title":"Comparative transcriptomic analysis of hybrids and their progenitors","text":"create SummarizedExperiment object? SummarizedExperiment data structure (S4 class) can used store, single object, following elements: assay: quantitative matrix features rows samples columns. context HybridExpress, gene expression matrix (counts) genes rows samples columns. colData: data frame sample metadata samples rows variables describe samples (e.g., tissue, treatment, covariates) columns. rowData: data frame gene metadata genes rows variables describe genes (e.g., chromosome name, alternative IDs, functional information, etc) columns. package, must assay containing count matrix colData slot sample metadata. rowData can present, required. demonstrate create SummarizedExperiment object, extract assay colData example object se_chlamy comes package. two objects, can create SummarizedExperiment object : details data structure, read vignette SummarizedExperiment package.","code":"# Get count matrix count_matrix <- assay(se_chlamy) head(count_matrix) #>                 S1  S2   S3   S4  S5   S6   S7   S8   S9 S10 S11  S12  S13  S14 #> Cre01.g000050   31  21   26   33  19   48   17    6   13   6  10    7   31   22 #> Cre01.g000150   50  29   35   99  11   58   51   46   41  33  28   14   53   25 #> Cre01.g000200   36  26   24   29  17   36   14   15   12   8  14    7   25   24 #> Cre01.g000250  440 272  394  332 283  585  272  274  255 160 225  235  405  391 #> Cre01.g000300 1242 839 1216 1251 811 1785 1341 1306 1122 877 844 1082 1704 1739 #> Cre01.g000350  412 264  294  336 252  478  233  221  195 155 190  201  299  272 #>                S15  S16  S17  S18 #> Cre01.g000050   29   22   21   16 #> Cre01.g000150   37   17   24   21 #> Cre01.g000200   24   26   18   21 #> Cre01.g000250  358  339  340  332 #> Cre01.g000300 1524 1720 1517 1243 #> Cre01.g000350  276  324  246  275  # Get colData (data frame of sample metadata) coldata <- colData(se_chlamy) head(coldata) #> DataFrame with 6 rows and 2 columns #>         Ploidy Generation #>    <character>   <factor> #> S1     diploid         P1 #> S2     diploid         P1 #> S3     diploid         P1 #> S4     diploid         P1 #> S5     diploid         P1 #> S6     diploid         P1 # Create a SummarizedExperiment object new_se <- SummarizedExperiment(     assays = list(counts = count_matrix),     colData = coldata )  new_se #> class: SummarizedExperiment  #> dim: 13058 18  #> metadata(0): #> assays(1): counts #> rownames(13058): Cre01.g000050 Cre01.g000150 ... ERCC-00170 ERCC-00171 #> rowData names(0): #> colnames(18): S1 S2 ... 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2024-08-04 [1] Bioconductor 3.20 (R 4.4.1) #>  SummarizedExperiment * 1.35.1   2024-06-28 [1] Bioconductor 3.20 (R 4.4.1) #>  systemfonts            1.1.0    2024-05-15 [2] RSPM (R 4.4.0) #>  textshaping            0.4.0    2024-05-24 [2] RSPM (R 4.4.0) #>  tibble                 3.2.1    2023-03-20 [2] RSPM (R 4.4.0) #>  tidyselect             1.2.1    2024-03-11 [1] RSPM (R 4.4.0) #>  UCSC.utils             1.1.0    2024-05-01 [1] Bioconductor 3.20 (R 4.4.0) #>  utf8                   1.2.4    2023-10-22 [2] RSPM (R 4.4.0) #>  vctrs                  0.6.5    2023-12-01 [2] RSPM (R 4.4.0) #>  withr                  3.0.1    2024-07-31 [2] RSPM (R 4.4.0) #>  xfun                   0.47     2024-08-17 [2] RSPM (R 4.4.0) #>  XVector                0.45.0   2024-05-01 [1] Bioconductor 3.20 (R 4.4.0) #>  yaml                   2.3.10   2024-07-26 [2] RSPM (R 4.4.0) #>  zlibbioc               1.51.1   2024-06-05 [1] Bioconductor 3.20 (R 4.4.0) #>  #>  [1] /__w/_temp/Library #>  [2] /usr/local/lib/R/site-library #>  [3] /usr/local/lib/R/library #>  #> ──────────────────────────────────────────────────────────────────────────────"},{"path":[]},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Fabricio Almeida-Silva. Author, maintainer. Lucas Prost-Boxoen. Author. Yves Van de Peer. Author.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Almeida-Silva F, Prost-Boxoen L, Van de Peer Y (2024). HybridExpress: Comparative analysis RNA-seq data hybrids progenitors. R package version 1.1.1, https://github.com/almeidasilvaf/HybridExpress.","code":"@Manual{,   title = {HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors},   author = {Fabricio Almeida-Silva and Lucas Prost-Boxoen and Yves {Van de Peer}},   year = {2024},   note = {R package version 1.1.1},   url = {https://github.com/almeidasilvaf/HybridExpress}, }"},{"path":"/index.html","id":"hybridexpress-","dir":"","previous_headings":"","what":"Comparative analysis of RNA-seq data for hybrids and their progenitors","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"goal HybridExpress perform comparative transcriptomic analyses hybrids relative progenitor species (.k.. experimental trios). package features: Calculation midparent expression values, silico samples obtained mean, sum, weighted mean random sample pairs parent; Exploratory analyses sample grouping PCA plots heatmaps hierarchically-clustered pairwise sample correlations; Identification differentially expressed genes hybrids progenitor species, hybrids midparent values, two parents. spike-standards available, HybridExpress uses normalize count data transcriptome size; Classification genes expression-based categories classes based Rapp et al. (2009). 12 expression categories proposed Rapp et al. (2009) grouped 5 major classes (transgressive -regulation, transgressive -regulation, additivity, expression-level dominance toward parent 1, expression-level dominance toward parent 2); Functional analyses identification overrepresented functional terms gene sets interest.","code":""},{"path":"/index.html","id":"installation-instructions","dir":"","previous_headings":"","what":"Installation instructions","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"Get latest stable R release CRAN. install HybridExpress Bioconductor using following code: development version GitHub :","code":"if (!requireNamespace(\"BiocManager\", quietly = TRUE)) {     install.packages(\"BiocManager\") }  BiocManager::install(\"HybridExpress\") BiocManager::install(\"almeidasilvaf/HybridExpress\")"},{"path":"/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"citation output using citation('HybridExpress') R. Please run check updates cite HybridExpress. Please note HybridExpress made possible thanks many R bioinformatics software authors, cited either vignettes /paper(s) describing package.","code":"print(citation('HybridExpress'), bibtex = TRUE) #> To cite package 'HybridExpress' in publications use: #>  #>   Almeida-Silva F, Prost-Boxoen L, Van de Peer Y (2023). #>   _HybridExpress: Comparative analysis of RNA-seq data for hybrids and #>   their progenitors_. R package version 1.1.1, #>   <https://github.com/almeidasilvaf/HybridExpress>. #>  #> A BibTeX entry for LaTeX users is #>  #>   @Manual{, #>     title = {HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors}, #>     author = {Fabricio Almeida-Silva and Lucas Prost-Boxoen and Yves {Van de Peer}}, #>     year = {2023}, #>     note = {R package version 1.1.1}, #>     url = {https://github.com/almeidasilvaf/HybridExpress}, #>   }"},{"path":"/index.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"Please note HybridExpress project released Contributor Code Conduct. contributing project, agree abide terms.","code":""},{"path":"/index.html","id":"development-tools","dir":"","previous_headings":"","what":"Development tools","title":"Comparative analysis of RNA-seq data for hybrids and their progenitors","text":"Continuous code testing possible thanks GitHub actions usethis, remotes, rcmdcheck customized use Bioconductor’s docker containers BiocCheck. Code coverage assessment possible thanks codecov covr. documentation website automatically updated thanks pkgdown. documentation formatted thanks devtools roxygen2. package developed using biocthis.","code":""},{"path":"/reference/HybridExpress-package.html","id":null,"dir":"Reference","previous_headings":"","what":"HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package","title":"HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package","text":"HybridExpress can used perform comparative transcriptomics analysis hybrids (allopolyploids) relative progenitor species. package features functions perform exploratory analyses sample grouping, identify differentially expressed genes hybrids relative progenitors, classify genes expression categories (N = 12) classes (N = 5), perform functional analyses. also provide users graphical functions seamless creation publication-ready figures commonly used literature.","code":""},{"path":[]},{"path":"/reference/HybridExpress-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"HybridExpress: Comparative analysis of RNA-seq data for hybrids and their progenitors — HybridExpress-package","text":"Maintainer: Fabricio Almeida-Silva fabricio_almeidasilva@hotmail.com (ORCID) Authors: Lucas Prost-Boxoen (ORCID) Yves Van de Peer yves.vandepeer@psb.vib-ugent.(ORCID)","code":""},{"path":"/reference/add_midparent_expression.html","id":null,"dir":"Reference","previous_headings":"","what":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"Add midparent expression SummarizedExperiment object","code":""},{"path":"/reference/add_midparent_expression.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"","code":"add_midparent_expression(   se,   coldata_column = \"Generation\",   parent1 = \"P1\",   parent2 = \"P2\",   method = \"mean\",   weights = c(1, 1) )"},{"path":"/reference/add_midparent_expression.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"se SummarizedExperiment object count matrix sample metadata. coldata_column Character indicating name column colData(se) information generation stored. Default: \"Generation\". parent1 Character indicating level variable coldata_column represents parent 1. Default: \"P1\". parent2 Character indicating level variable coldata_column represents parent 2. Default: \"P2\". method Character indicating method use create midparent values. One 'mean' (default), 'sum', 'weightedmean'. weights Numeric vector length 2 indicating weights give parents 1 2 (respectively) method == \"weightedmean\". Setting method == \"weightedmean\" used sometimes parents different ploidy levels. cases, ploidy levels parents 1 2 can passed vector. Default: c(1, 2).","code":""},{"path":"/reference/add_midparent_expression.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"SummarizedExperiment object.","code":""},{"path":"/reference/add_midparent_expression.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add midparent expression to SummarizedExperiment object — add_midparent_expression","text":"","code":"data(se_chlamy) new_se <- add_midparent_expression(se_chlamy)"},{"path":"/reference/add_size_factors.html","id":null,"dir":"Reference","previous_headings":"","what":"Add size factors to normalize count data by library size or by biomass — add_size_factors","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"Add size factors normalize count data library size biomass","code":""},{"path":"/reference/add_size_factors.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"","code":"add_size_factors(se, spikein = FALSE, spikein_pattern = \"ERCC\")"},{"path":"/reference/add_size_factors.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"se SummarizedExperiment object count matrix sample metadata. spikein Logical indicating whether normalize data using spike-ins. FALSE, data normalized library size. Default: FALSE. spikein_pattern Character pattern (regex) use identify spike-features count matrix. valid spikein_norm = TRUE.","code":""},{"path":"/reference/add_size_factors.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"SummarizedExperiment object se, extra column colData slot named \"sizeFactor\". column contains size factors used DESeq2 performing differential expression analyses.","code":""},{"path":"/reference/add_size_factors.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add size factors to normalize count data by library size or by biomass — add_size_factors","text":"","code":"data(se_chlamy) se_norm <- add_size_factors(se_chlamy)"},{"path":"/reference/deg_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"object obtained get_deg_counts() using example data set deg_list.","code":""},{"path":"/reference/deg_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"","code":"data(deg_counts)"},{"path":"/reference/deg_counts.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"data frame frequencies (absolute relative) - -regulated genes contrast. Relative frequencies calculated relative total number genes count matrix used differential expression analysis.","code":""},{"path":"/reference/deg_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data frame with frequencies (absolute and relative) of DEGs per contrast — deg_counts","text":"","code":"data(deg_counts)"},{"path":"/reference/deg_list.html","id":null,"dir":"Reference","previous_headings":"","what":"List of differentially expressed genes for all contrasts — deg_list","title":"List of differentially expressed genes for all contrasts — deg_list","text":"object obtained get_deg_list() using example data set se_chlamy.","code":""},{"path":"/reference/deg_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"List of differentially expressed genes for all contrasts — deg_list","text":"","code":"data(deg_list)"},{"path":"/reference/deg_list.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"List of differentially expressed genes for all contrasts — deg_list","text":"list data frames gene-wise test statistics differentially expressed genes contrast. Contrasts \"P2_vs_P1\", \"F1_vs_P1\", \"F1_vs_P2\", \"F1_vs_midparent\", ID 'vs' represents numerator, ID 'vs' represents denominator.","code":""},{"path":"/reference/deg_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"List of differentially expressed genes for all contrasts — deg_list","text":"","code":"data(deg_list)"},{"path":"/reference/expression_partitioning.html","id":null,"dir":"Reference","previous_headings":"","what":"Partition genes in groups based on their expression patterns — expression_partitioning","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"Partition genes groups based expression patterns","code":""},{"path":"/reference/expression_partitioning.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"","code":"expression_partitioning(deg_list)"},{"path":"/reference/expression_partitioning.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"deg_list list data frames gene-wise test statistics differentially expressed genes returned get_deg_list().","code":""},{"path":"/reference/expression_partitioning.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"data following variables: Gene Character, gene ID. Category Factor, expression group. Category names numbers 1 12. Class Factor, expression group class. One \"\" (transgressive -regulation), \"\" (transgressive -regulation), \"ADD\" (additivity), \"ELD_P1\" (expression-level dominance toward parent 1), \"ELD_P2\" (expression-level dominance toward parent 2).","code":""},{"path":"/reference/expression_partitioning.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Partition genes in groups based on their expression patterns — expression_partitioning","text":"","code":"data(deg_list) exp_partitions <- expression_partitioning(deg_list)"},{"path":"/reference/get_deg_counts.html","id":null,"dir":"Reference","previous_headings":"","what":"Get a count table of differentially expressed genes per contrast — get_deg_counts","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"Get count table differentially expressed genes per contrast","code":""},{"path":"/reference/get_deg_counts.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"","code":"get_deg_counts(deg_list)"},{"path":"/reference/get_deg_counts.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"deg_list list data frames gene-wise test statistics differentially expressed genes returned get_deg_list().","code":""},{"path":"/reference/get_deg_counts.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"data frame following variables: contrast Character, contrast name. Numeric, number -regulated genes. Numeric, number -regulated genes. total Numeric, total number differentially expressed genes. perc_up Numeric, percentage -regulated genes. perc_down Numeric, percentage -regulated genes. perc_total Numeric, percentage diffferentially expressed genes.","code":""},{"path":"/reference/get_deg_counts.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get a count table of differentially expressed genes per contrast — get_deg_counts","text":"","code":"data(deg_list) deg_counts <- get_deg_counts(deg_list)"},{"path":"/reference/get_deg_list.html","id":null,"dir":"Reference","previous_headings":"","what":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"Get table differential expression expression statistics DESeq2","code":""},{"path":"/reference/get_deg_list.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"","code":"get_deg_list(   se,   coldata_column = \"Generation\",   parent1 = \"P1\",   parent2 = \"P2\",   offspring = \"F1\",   midparent = \"midparent\",   lfcThreshold = 0,   alpha = 0.01,   ... )"},{"path":"/reference/get_deg_list.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"se SummarizedExperiment object count matrix sample metadata. coldata_column Character indicating name column colData(se) information generation stored. Default: \"Generation\". parent1 Character indicating level variable coldata_column represents parent 1. Default: \"P1\". parent2 Character indicating level variable coldata_column represents parent 2. Default: \"P2\". offspring Character indicating level variable coldata_column represents offspring (hybrid allopolyploid). Default: \"F1\" midparent Character indicating level variable coldata_column represents midparent value. Default: \"midparent\", returned add_midparent_expression(). lfcThreshold Numeric indicating log2 fold-change threshold use consider differentially expressed genes. Default: 0. alpha Numeric indicating adjusted P-value threshold use consider differentially expressed genes. Default: 0.01. ... Additional arguments passed DESeq2::results().","code":""},{"path":"/reference/get_deg_list.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"list data frames DESeq2's gene-wise tests statistics contrast. data frame contains columns output DESeq2::results(). Contrasts (list names) : P2_vs_P1 Parent 2 (numerator) versus parent 1 (denominator). F1_vs_P1 Offspring (numerator) versus parent 1 (denominator). F1_vs_P2 Offspring (numerator) versus parent 2 (denominator). F1_vs_midparent Offspring (numerator) versus midparent (denominator). data frame gene-wise test statistics list element contains following variables: baseMean Numeric, base mean. log2FoldChange Numeric, log2-transformed fold changes. lfcSE Numeric, standard error log2-transformed fold changes. stat Numeric, observed test statistic. pvalue Numeric, p-value. padj Numeric, P-value adjusted multiple testing. list contains two additional attributes named ngenes (numeric, total number genes), plotdata, 3-column data frame variables \"gene\" (character, gene ID), \"lFC_F1_vs_P1\" (numeric, log2 fold change F1 P1), \"lFC_F1_vs_P2\" (numeric, log2 fold change F1 P2).","code":""},{"path":"/reference/get_deg_list.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get a table of differential expression expression statistics with DESeq2 — get_deg_list","text":"","code":"data(se_chlamy) se <- add_midparent_expression(se_chlamy) se <- add_size_factors(se, spikein = TRUE) #> converting counts to integer mode deg_list <- get_deg_list(se) #> using pre-existing size factors #> estimating dispersions #> gene-wise dispersion estimates #> mean-dispersion relationship #> final dispersion estimates #> fitting model and testing"},{"path":"/reference/go_chlamy.html","id":null,"dir":"Reference","previous_headings":"","what":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"Data obtained Phytozome processed row contains one GO term (long format).","code":""},{"path":"/reference/go_chlamy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"","code":"data(go_chlamy)"},{"path":"/reference/go_chlamy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"2-column data frame columns gene (character, gene ID), GO (character, name GO term.)","code":""},{"path":"/reference/go_chlamy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data frame with GO terms annotated to each gene of Chlamydomonas reinhardtii — go_chlamy","text":"","code":"data(go_chlamy)"},{"path":"/reference/ora.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform overrepresentation analysis for a set of genes — ora","title":"Perform overrepresentation analysis for a set of genes — ora","text":"Perform overrepresentation analysis set genes","code":""},{"path":"/reference/ora.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform overrepresentation analysis for a set of genes — ora","text":"","code":"ora(   genes,   annotation,   column = NULL,   background,   correction = \"BH\",   alpha = 0.05,   min_setsize = 5,   max_setsize = 500,   bp_param = BiocParallel::SerialParam() )"},{"path":"/reference/ora.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform overrepresentation analysis for a set of genes — ora","text":"genes Character vector containing genes overrepresentation analysis. annotation Annotation data frame genes first column functional annotation columns. data frame can exported Biomart similar databases. column Column columns annotation used enrichment. character numeric values column indices can used. users want supply one column, input character numeric vector. Default: columns annotation. background Character vector genes used background overrepresentation analysis. correction Multiple testing correction method. One \"holm\", \"hochberg\", \"hommel\", \"bonferroni\", \"BH\", \"\", \"fdr\" \"none\". Default \"BH\". alpha Numeric indicating adjusted P-value threshold significance. Default: 0.05. min_setsize Numeric indicating minimum gene set size considered. Gene sets correspond levels variable annotation). Default: 5. max_setsize Numeric indicating maximum gene set size considered. Gene sets correspond levels variable annotation). Default: 500. bp_param BiocParallel back-end used. Default: BiocParallel::SerialParam()","code":""},{"path":"/reference/ora.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform overrepresentation analysis for a set of genes — ora","text":"data frame overrepresentation results following variables: term Character, functional term ID/name. genes Numeric, intersection length input genes genes particular functional term. Numeric, number genes particular functional term. pval Numeric, P-value hypergeometric test. padj Numeric, P-value adjusted multiple comparisons using method specified parameter adj. category Character, name grouping variable (.e., column name annotation).","code":""},{"path":"/reference/ora.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform overrepresentation analysis for a set of genes — ora","text":"","code":"data(se_chlamy) data(go_chlamy) data(deg_list)  # Perform ORA for up-regulated genes in contrast F1_vs_P1 up_genes <- deg_list$F1_vs_P1 up_genes <- rownames(up_genes[up_genes$log2FoldChange > 0, ])  background <- rownames(se_chlamy)  ora(up_genes, go_chlamy, background = background) #>               term genes all         pval       padj category #> 133 dynein complex     8  13 1.924882e-05 0.00802676       GO"},{"path":"/reference/pca_plot.html","id":null,"dir":"Reference","previous_headings":"","what":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"Perform principal component analysis (PCA) plot PCs","code":""},{"path":"/reference/pca_plot.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"","code":"pca_plot(   se,   PCs = c(1, 2),   ntop = 500,   color_by = NULL,   shape_by = NULL,   add_mean = FALSE,   palette = NULL )"},{"path":"/reference/pca_plot.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"se SummarizedExperiment object count matrix sample metadata. PCs Numeric vector indicating principal components show x-axis y-axis, respectively. Default: c(1,2). ntop Numeric indicating number top genes highest variances use PCA. Default: 500. color_by Character name column colData(se) use group samples color. Default: NULL. shape_by Character name column colData(se) use group samples shape. Default: NULL. add_mean Logical indicating whether add diamond symbol mean value level variable indicated color_by. Default: FALSE palette Character vector colors use level variable indicated color_by. NULL, default color palette used.","code":""},{"path":"/reference/pca_plot.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"ggplot object PCA plot showing 2 principal components axis along % variance explained.","code":""},{"path":"/reference/pca_plot.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Perform a principal component analysis (PCA) and plot PCs — pca_plot","text":"","code":"data(se_chlamy) se <- add_midparent_expression(se_chlamy) se$Ploidy[is.na(se$Ploidy)] <- \"midparent\" se$Generation[is.na(se$Generation)] <- \"midparent\" pca_plot(se, color_by = \"Generation\", shape_by = \"Ploidy\", add_mean = TRUE) #> converting counts to integer mode"},{"path":"/reference/plot_expression_partitions.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot expression partitions — plot_expression_partitions","title":"Plot expression partitions — plot_expression_partitions","text":"Plot expression partitions","code":""},{"path":"/reference/plot_expression_partitions.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot expression partitions — plot_expression_partitions","text":"","code":"plot_expression_partitions(   partition_table,   group_by = \"Category\",   palette = NULL,   labels = c(\"P1\", \"F1\", \"P2\") )"},{"path":"/reference/plot_expression_partitions.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot expression partitions — plot_expression_partitions","text":"partition_table data frame genes per expression partition returned expression_partitioning(). group_by Character indicating name variable partition_table use group genes. One \"Category\" \"Class\". Default: \"Category\". palette Character vector color names used level variable specified group_by. group_by = \"Category\", must vector length 12. group_by = \"Class\", must vector length 5. NULL, default color palette used. labels character vector length 3 indicating labels given parent 1, offspring, parent 2. Default: c(\"P1\", \"F1\", \"P2\").","code":""},{"path":"/reference/plot_expression_partitions.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot expression partitions — plot_expression_partitions","text":"ggplot object plot showing genes expression partition.","code":""},{"path":"/reference/plot_expression_partitions.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot expression partitions — plot_expression_partitions","text":"","code":"data(deg_list) partition_table <- expression_partitioning(deg_list) plot_expression_partitions(partition_table)"},{"path":"/reference/plot_expression_triangle.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"Plot triangle comparisons DEG sets among generations","code":""},{"path":"/reference/plot_expression_triangle.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"","code":"plot_expression_triangle(deg_counts, palette = NULL, box_labels = NULL)"},{"path":"/reference/plot_expression_triangle.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"deg_counts Data frame number differentially expressed genes per contrast returned get_deg_counts. palette Character vector length 4 indicating colors boxes P1, P2, F1, midparent, respectively. NULL, default color palette used. box_labels Character vector length 4 indicating labels boxes P1, P2, F1, midparent, respectively. Default: NULL, lead labels \"P1\", \"P2\", \"F1\", \"Midparent\", respectively.","code":""},{"path":"/reference/plot_expression_triangle.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"ggplot object expression triangle.","code":""},{"path":"/reference/plot_expression_triangle.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"expression triangle plot shows number differentially expressed genes (DEGs) contrast. Numbers center lines (bold) indicate total number DEGs, numbers near boxes indicate number -regulated genes generation triangle.","code":""},{"path":"/reference/plot_expression_triangle.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a triangle of comparisons of DEG sets among generations — plot_expression_triangle","text":"","code":"data(deg_counts) plot_expression_triangle(deg_counts)"},{"path":"/reference/plot_partition_frequencies.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"Plot barplot gene frequencies per expression partition","code":""},{"path":"/reference/plot_partition_frequencies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"","code":"plot_partition_frequencies(   partition_table,   group_by = \"Category\",   palette = NULL,   labels = c(\"P1\", \"F1\", \"P2\") )"},{"path":"/reference/plot_partition_frequencies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"partition_table data frame genes per expression partition returned expression_partitioning(). group_by Character indicating name variable partition_table use group genes. One \"Category\" \"Class\". Default: \"Category\". palette Character vector color names used level variable specified group_by. group_by = \"Category\", must vector length 12. group_by = \"Class\", must vector length 5. NULL, default color palette used. labels character vector length 3 indicating labels given parent 1, offspring, parent 2. Default: c(\"P1\", \"F1\", \"P2\").","code":""},{"path":"/reference/plot_partition_frequencies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"ggplot object barplot showing gene frequencies per partition next explanatory line plots depicting partition.","code":""},{"path":"/reference/plot_partition_frequencies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a barplot of gene frequencies per expression partition — plot_partition_frequencies","text":"","code":"data(deg_list) partition_table <- expression_partitioning(deg_list) plot_partition_frequencies(partition_table)"},{"path":"/reference/plot_samplecor.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"Plot heatmap pairwise sample correlations hierarchical clustering","code":""},{"path":"/reference/plot_samplecor.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"","code":"plot_samplecor(   se,   coldata_cols = NULL,   rowdata_cols = NULL,   ntop = 500,   cor_method = \"pearson\",   palette = \"Blues\",   ... )"},{"path":"/reference/plot_samplecor.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"se SummarizedExperiment object count matrix sample metadata colData slot. rowData slot available, can also used clustering rows. coldata_cols vector (either numeric character) indicating columns extracted colData(se). rowdata_cols vector (either numeric character) indicating columns extracted rowData(se). ntop Numeric indicating number top genes highest variances use PCA. Default: 500. cor_method Character indicating correlation method use. One \"pearson\" \"spearman\". Default: \"pearson\". palette Character indicating name color palette RColorBrewer package use. Default: \"Blues\". ... Additional arguments passed ComplexHeatmap::pheatmap(). arguments can used control heatmap aesthetics, show/hide row column names, change font size, activate/deactivate hierarchical clustering, etc. complete list options, see ?ComplexHeatmap::pheatmap().","code":""},{"path":"/reference/plot_samplecor.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"heatmap hierarchically clustered pairwise sample correlations.","code":""},{"path":"/reference/plot_samplecor.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot a heatmap of pairwise sample correlations with hierarchical clustering — plot_samplecor","text":"","code":"data(se_chlamy) se <- add_midparent_expression(se_chlamy) se$Ploidy[is.na(se$Ploidy)] <- \"midparent\" se$Generation[is.na(se$Generation)] <- \"midparent\" plot_samplecor(se, ntop = 500) #> converting counts to integer mode"},{"path":"/reference/se_chlamy.html","id":null,"dir":"Reference","previous_headings":"","what":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"Two lines (referred parent 1 parent 2) different ploidy levels crossed generate allopolyploid (F1).","code":""},{"path":"/reference/se_chlamy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"","code":"data(se_chlamy)"},{"path":"/reference/se_chlamy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"SummarizedExperiment object assay (count) colData.","code":""},{"path":"/reference/se_chlamy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Expression data (in counts) for 3 Chlamydomonas lines (P1, P2, and F1) — se_chlamy","text":"","code":"data(se_chlamy)"},{"path":"/news/index.html","id":"hybridexpress-0990","dir":"Changelog","previous_headings":"","what":"HybridExpress 0.99.0","title":"HybridExpress 0.99.0","text":"NEW FEATURES Added NEWS.md file track changes package.","code":""}]
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