From 3e38fcfbff06d08f64d8aa31d9df25065c9f291b Mon Sep 17 00:00:00 2001 From: almeidasilvaf Date: Mon, 5 Feb 2024 10:34:09 +0100 Subject: [PATCH] Combined figures into panels to reduce vignette size --- DESCRIPTION | 1 + R/ka_ks_analyses.R | 5 +- data/cds_scerevisiae.rda | Bin 288984 -> 22176 bytes data/fungi_kaks.rda | Bin 166804 -> 80868 bytes data/gmax_ks.rda | Bin 508824 -> 319080 bytes man/pairs2kaks.Rd | 5 +- tests/testthat/test-ka_ks_analyses.R | 13 +++-- vignettes/doubletrouble_vignette.Rmd | 73 +++++++++++++++++---------- 8 files changed, 60 insertions(+), 37 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 013b6e0..fd0fce0 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -67,6 +67,7 @@ Suggests: testthat (>= 3.0.0), knitr, feature, + patchwork, BiocStyle, rmarkdown, covr, diff --git a/R/ka_ks_analyses.R b/R/ka_ks_analyses.R index b882058..f6b53eb 100644 --- a/R/ka_ks_analyses.R +++ b/R/ka_ks_analyses.R @@ -33,9 +33,10 @@ #' annot <- pdata$annotation["Scerevisiae"] #' #' # Binary classification scheme -#' gene_pairs_list <- classify_gene_pairs(annot, blast_list) +#' pairs <- classify_gene_pairs(annot, blast_list) +#' td_pairs <- pairs[[1]][pairs[[1]]$type == "TD", ] #' gene_pairs_list <- list( -#' Scerevisiae = gene_pairs_list[[1]][seq(1, 5, by = 1), ] +#' Scerevisiae = td_pairs[seq(1, 3, by = 1), ] #' ) #' #' cds <- list(Scerevisiae = cds_scerevisiae) diff --git a/data/cds_scerevisiae.rda b/data/cds_scerevisiae.rda index 5206a71d8833df288c0ddb499ad18eea58944532..bf0b5c9e38d5bf6f25206a55d2e292ef8e51ab55 100644 GIT binary patch literal 22176 zcmV(xKvQ&2UJ%gRpOV=m zhG|k=iZCE>C`Ol~d}zCNy3(jep!K5=yJ)#*^3y*KL(~-NsvSW>a?vkC~ z#cO1jcJ6Sutkq>&={Fca1=L|DFjj+VyZ_zqB8CNOymy{FK|$Q1?;Kdpv+{x-)nP|o zss6D476bf1Id%LSBE7w-`Xoq4(rN9h(>MhE3y(Ua;I7CI@M;Zc14bSJP8Mn+oXoqj zBX>bvOkCLMNl~s0DA>HTSqt;IVuEmYH(_4SdW&px~8Au z8!*s;*`9KvSK!A+tAg@@L(A+u>*ykQ7Jz;a6|C*(2BB^2isjE%u4D_Za%0rjT~kN% 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counts (long format) @@ -656,17 +661,21 @@ classify_genes(fungi_kaks) |> # classify genes into unique duplication types As briefly demonstrated before, to plot a $K_s$ distribution for the whole paranome, you will use the function `plot_ks_distro()`. -```{r} +```{r fig.height=3, fig.width=9} ks_df <- fungi_kaks$saccharomyces_cerevisiae -# 1) Histogram, whole paranome -plot_ks_distro(ks_df, plot_type = "histogram") +# A) Histogram, whole paranome +p1 <- plot_ks_distro(ks_df, plot_type = "histogram") + +# B) Density, whole paranome +p2 <- plot_ks_distro(ks_df, plot_type = "density") -# 2) Density, whole paranome -plot_ks_distro(ks_df, plot_type = "density") +# C) Histogram with density lines, whole paranome +p3 <- plot_ks_distro(ks_df, plot_type = "density_histogram") -# 3) Histogram with density lines, whole paranome -plot_ks_distro(ks_df, plot_type = "density_histogram") +# Combine plots side by side +patchwork::wrap_plots(p1, p2, p3, nrow = 1) + + patchwork::plot_annotation(tag_levels = "A") ``` However, visualizing the distribution for the whole paranome can mask patterns @@ -677,12 +686,16 @@ whether syntenic genes cluster together, suggesting the presence of WGD history. To visualize the distribution by duplication type, use `bytype = TRUE` in `plot_ks_distro()`. -```{r} -# 1) Duplicates by type, histogram -plot_ks_distro(ks_df, bytype = TRUE, plot_type = "histogram") +```{r fig.width = 8, fig.height=4} +# A) Duplicates by type, histogram +p1 <- plot_ks_distro(ks_df, bytype = TRUE, plot_type = "histogram") + +# B) Duplicates by type, violin +p2 <- plot_ks_distro(ks_df, bytype = TRUE, plot_type = "violin") -# 2) Duplicates by type, violin -plot_ks_distro(ks_df, bytype = TRUE, plot_type = "violin") +# Combine plots side by side +patchwork::wrap_plots(p1, p2) + + patchwork::plot_annotation(tag_levels = "A") ``` ## Visualizing substitution rates by species @@ -692,12 +705,16 @@ substitution rates ($K_s$, $K_a$, or their ratio $K_a/K_s$) by species. You can choose which rate you want to visualize, and whether or not to group gene pairs by duplication mode, as demonstrated below. -```{r} -# Ks for each species -plot_rates_by_species(fungi_kaks) +```{r fig.width = 6, fig.height = 4} +# A) Ks for each species +p1 <- plot_rates_by_species(fungi_kaks) + +# B) Ka/Ks by duplication type for each species +p2 <- plot_rates_by_species(fungi_kaks, rate_column = "Ka_Ks", bytype = TRUE) -# Ka/Ks by duplication type for each species -plot_rates_by_species(fungi_kaks, rate_column = "Ka_Ks", bytype = TRUE) +# Combine plots - one per row +patchwork::wrap_plots(p1, p2, nrow = 2) + + patchwork::plot_annotation(tag_levels = "A") ``` # Session information {.unnumbered}

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