From c32b6910285372a8968a5f12b54441384c3dc184 Mon Sep 17 00:00:00 2001 From: HediaTnani <59562743+HediaTnani@users.noreply.github.com> Date: Wed, 3 Jan 2024 21:32:26 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20LieberIn?= =?UTF-8?q?stitute/qsvaR@7a2e149a8bbfbdfe7dd529144e8cbd4d95a9e16f=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- articles/Intro_qsvaR.html | 243 +++++++++++++++++++------------------- authors.html | 8 +- index.html | 1 - pkgdown.yml | 4 +- 4 files changed, 130 insertions(+), 126 deletions(-) diff --git a/articles/Intro_qsvaR.html b/articles/Intro_qsvaR.html index 27aae75..e005a5e 100644 --- a/articles/Intro_qsvaR.html +++ b/articles/Intro_qsvaR.html @@ -99,7 +99,7 @@

Leonardo Development
lcolladotor@gmail.com -

27 June 2023

+

3 January 2024

Source: vignettes/Intro_qsvaR.Rmd @@ -115,10 +115,10 @@

Basics

Install qsvaR

R is an open-source statistical environment which can be -easily modified to enhance its functionality via packages. qsvaR is a +easily modified to enhance its functionality via packages. qsvaR is a R package available via the Bioconductor repository for packages. R can be installed on any operating system from CRAN after which you can install -qsvaR by +qsvaR by using the following commands in your R session:

 ## To install Bioconductor packages
@@ -137,10 +137,10 @@ 

Install qsvaR

Required knowledge

-

qsvaR is +

qsvaR is based on many other packages and in particular in those that have implemented the infrastructure needed for dealing with RNA-seq data. -That is, packages like SummarizedExperiment. +That is, packages like SummarizedExperiment. Here it might be useful for you to check the qSVA framework manuscript (Jaffe et al, PNAS, 2017).

@@ -168,7 +168,7 @@

Asking for help

Citing qsvaR

-

We hope that qsvaR will +

We hope that qsvaR will be useful for your research. Please use the following information to cite the package and the overall approach. Thank you!

@@ -176,12 +176,12 @@ 

Citing qsvaRcitation("qsvaR") #> To cite package 'qsvaR' in publications use: #> -#> Stolz JM, Tnani H, Collado-Torres L (2023). _qsvaR_. +#> Stolz JM, Tnani H, Collado-Torres L (2024). _qsvaR_. #> doi:10.18129/B9.bioc.qsvaR <https://doi.org/10.18129/B9.bioc.qsvaR>, #> https://github.com/LieberInstitute/qsvaR/qsvaR - R package version #> 1.5.3, <http://www.bioconductor.org/packages/qsvaR>. #> -#> Stolz JM, Tnani H, Tao R, Jaffe AE, Collado-Torres L (2023). "qsvaR." +#> Stolz JM, Tnani H, Tao R, Jaffe AE, Collado-Torres L (2024). "qsvaR." #> _bioRxiv_. doi:10.1101/TODO <https://doi.org/10.1101/TODO>, #> <https://www.biorxiv.org/content/10.1101/TODO>. #> @@ -230,8 +230,8 @@

Significant Transcripts

-

The qsvaR -(Stolz, Tnani, and Collado-Torres, 2023) package combines an established +

The qsvaR +(Stolz, Tnani, and Collado-Torres, 2024) package combines an established method for removing the effects of degradation from RNA-seq data with easy to use functions. The first step in this workflow is to create an RangedSummarizedExperiment @@ -430,7 +430,7 @@

Differential ExpressionclusterProfiler.

+such as clusterProfiler.

 # get expression for most significant gene
 yy <- txExprs[rownames(txExprs) == rownames(sigTx)[1], ]
@@ -522,13 +522,13 @@ 

Differential ExpressionConclusion

We have shown that this method is effective for removing the effects -of degradation from RNA-seq data. We found that the qsvaR is +of degradation from RNA-seq data. We found that the qsvaR is simpler to use than the previous version from 2016 that used expressed regions instead of transcripts making this software package preferable for users. I would encourage users to read how each set of degradation transcripts was selected as not all models may be appropriate for every -experiment. Thank you for your interest and for using qsvaR -(Stolz, Tnani, and Collado-Torres, 2023)!

+experiment. Thank you for your interest and for using qsvaR +(Stolz, Tnani, and Collado-Torres, 2024)!

Acknowledgements @@ -537,11 +537,11 @@

Acknowledgements
  • Heena Divecha for -proofreading the documentation of qsvaR +proofreading the documentation of qsvaR
  • Louise A. Huuki-Myers for -guidance with understanding R code and editing qsvaR +guidance with understanding R code and editing qsvaR
  • Nicholas J. Eagles for @@ -549,23 +549,23 @@

    Acknowledgements
  • Aja Hope for -proofreading the documentation of qsvaR +proofreading the documentation of qsvaR
  • Reproducibility

    -

    The qsvaR -package (Stolz, Tnani, and Collado-Torres, 2023) was made possible +

    The qsvaR +package (Stolz, Tnani, and Collado-Torres, 2024) was made possible thanks to:

    -

    This package was developed using biocthis.

    +

    This package was developed using biocthis.

    Code for creating the vignette

     ## Create the vignette
    @@ -610,133 +610,135 @@ 

    Reproducibilitylibrary("knitr") knit("Intro_qsvaR.Rmd", tangle = TRUE)

    Date the vignette was generated.

    -
    #> [1] "2023-06-27 14:22:20 UTC"
    +
    #> [1] "2024-01-03 21:32:13 UTC"

    Wallclock time spent generating the vignette.

    -
    #> Time difference of 1.653 mins
    +
    #> Time difference of 1.095 mins

    R session information.

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    @@ -747,7 +749,7 @@ 

    Reproducibility

    Bibliography

    -

    This vignette was generated using BiocStyle +

    This vignette was generated using BiocStyle (Oleś, 2023) with knitr (Xie, 2023) and rmarkdown (Allaire, Xie, Dervieux et al., 2023) running behind the scenes.

    @@ -756,17 +758,19 @@

    Bibliography[1] J. Allaire, Y. Xie, C. Dervieux, et al. rmarkdown: Dynamic Documents -for R. R package version 2.22. 2023. URL: +for R. R package version 2.25. 2023. URL: https://github.com/rstudio/rmarkdown.

    [2] -J. Hester. covr: Test Coverage for Packages. https://covr.r-lib.org, https://github.com/r-lib/covr. 2023. +J. Hester. covr: Test Coverage for Packages. R package version +3.6.4, https://github.com/r-lib/covr. 2023. URL: +https://covr.r-lib.org.

    [3] J. T. Leek, W. E. Johnson, H. S. Parker, et al. sva: Surrogate -Variable Analysis. R package version 3.48.0. 2023. DOI: +Variable Analysis. R package version 3.50.0. 2023. DOI: 10.18129/B9.bioc.sva. URL: https://bioconductor.org/packages/sva. @@ -781,7 +785,7 @@

    Bibliography[5] M. Morgan, V. Obenchain, J. Hester, et al. SummarizedExperiment: -SummarizedExperiment container. R package version 1.30.2. 2023. +SummarizedExperiment container. R package version 1.32.0. 2023. DOI: 10.18129/B9.bioc.SummarizedExperiment. URL: @@ -790,7 +794,7 @@

    Bibliography[6] A. Oleś. BiocStyle: Standard styles for vignettes and other -Bioconductor documents. R package version 2.28.0. 2023. DOI: +Bioconductor documents. R package version 2.30.0. 2023. DOI: 10.18129/B9.bioc.BiocStyle. URL: https://bioconductor.org/packages/BiocStyle. @@ -812,15 +816,15 @@

    Bibliography[9] L. Shepherd and M. Morgan. BiocFileCache: Manage Files Across -Sessions. R package version 2.8.0. 2023. DOI: +Sessions. R package version 2.10.1. 2023. DOI: 10.18129/B9.bioc.BiocFileCache. URL: https://bioconductor.org/packages/BiocFileCache.

    -[10] +[10] J. M. Stolz, H. Tnani, and L. Collado-Torres. qsvaR. https://github.com/LieberInstitute/qsvaR/qsvaR - R -package version 1.5.3. 2023. DOI: +package version 1.5.3. 2024. DOI: 10.18129/B9.bioc.qsvaR. URL: http://www.bioconductor.org/packages/qsvaR. @@ -840,12 +844,13 @@

    Bibliography[13] H. Wickham, W. Chang, R. Flight, et al. sessioninfo: R Session -Information. https://github.com/r-lib/sessioninfo#readme, https://r-lib.github.io/sessioninfo/. 2021. +Information. R package version 1.2.2, https://r-lib.github.io/sessioninfo/. 2021. URL: +https://github.com/r-lib/sessioninfo#readme.

    [14] Y. Xie. knitr: A General-Purpose Package for Dynamic Report -Generation in R. R package version 1.43. 2023. URL: +Generation in R. R package version 1.45. 2023. URL: https://yihui.org/knitr/.

    diff --git a/authors.html b/authors.html index 243711b..336f1c4 100644 --- a/authors.html +++ b/authors.html @@ -79,19 +79,19 @@

    Citation

    -

    Stolz JM, Tnani H, Collado-Torres L (2023). +

    Stolz JM, Tnani H, Collado-Torres L (2024). qsvaR. doi:10.18129/B9.bioc.qsvaR, https://github.com/LieberInstitute/qsvaR/qsvaR - R package version 1.5.3, http://www.bioconductor.org/packages/qsvaR.

    @Manual{,
       title = {qsvaR},
       author = {Joshua M. Stolz and Hedia Tnani and Leonardo Collado-Torres},
    -  year = {2023},
    +  year = {2024},
       url = {http://www.bioconductor.org/packages/qsvaR},
       note = {https://github.com/LieberInstitute/qsvaR/qsvaR - R package version 1.5.3},
       doi = {10.18129/B9.bioc.qsvaR},
     }
    -

    Stolz JM, Tnani H, Tao R, Jaffe AE, Collado-Torres L (2023). +

    Stolz JM, Tnani H, Tao R, Jaffe AE, Collado-Torres L (2024). “qsvaR.” bioRxiv. doi:10.1101/TODO, https://www.biorxiv.org/content/10.1101/TODO. @@ -99,7 +99,7 @@

    Citation

    @Article{,
       title = {qsvaR},
       author = {Joshua M. Stolz and Hedia Tnani and Ran Tao and Andrew E. Jaffe and Leonardo Collado-Torres},
    -  year = {2023},
    +  year = {2024},
       journal = {bioRxiv},
       doi = {10.1101/TODO},
       url = {https://www.biorxiv.org/content/10.1101/TODO},
    diff --git a/index.html b/index.html
    index c5f2b71..008592e 100644
    --- a/index.html
    +++ b/index.html
    @@ -240,7 +240,6 @@ 

    Differential Expression

    Links

    diff --git a/pkgdown.yml b/pkgdown.yml index 4226c59..7be623d 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -1,7 +1,7 @@ -pandoc: 2.19.2 +pandoc: 3.1.1 pkgdown: 2.0.7 pkgdown_sha: ~ articles: Intro_qsvaR: Intro_qsvaR.html -last_built: 2023-06-27T14:20Z +last_built: 2024-01-03T21:30Z