# HG changeset patch # User artbio # Date 1708418056 0 # Node ID 0adb846ca0567bb776490a7670414b5b53b4ff70 # Parent bea8435e1e793679daa23d8b223e3ff4c46739b7 planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/main/tools/probecoverage commit 668f7e9be66ae301f840b395d72ddcc311da7aa2 diff -r bea8435e1e79 -r 0adb846ca056 multicov.py --- a/multicov.py Thu Jun 03 23:59:31 2021 +0000 +++ b/multicov.py Tue Feb 20 08:34:16 2024 +0000 @@ -53,6 +53,7 @@ line_counter += 1 suffix = '\t'.join(crossline) print('%s\t%s' % (prefix, suffix)) + F.close() if __name__ == "__main__": diff -r bea8435e1e79 -r 0adb846ca056 probecoverage.r --- a/probecoverage.r Thu Jun 03 23:59:31 2021 +0000 +++ b/probecoverage.r Tue Feb 20 08:34:16 2024 +0000 @@ -1,9 +1,11 @@ ## Setup R error handling to go to stderr -options(show.error.messages = F, - error = function() { - cat(geterrmessage(), file = stderr()); q("no", 1, F) - } - ) +options( + show.error.messages = FALSE, + error = function() { + cat(geterrmessage(), file = stderr()) + q("no", 1, FALSE) + } +) warnings() library(optparse) library(ggplot2) @@ -17,44 +19,44 @@ make_option("--sample", type = "character", help = "a space separated of sample labels"), make_option("--method", type = "character", help = "bedtools or pysam"), make_option(c("-o", "--output"), type = "character", help = "path to the pdf plot") - ) - +) + parser <- OptionParser(usage = "%prog [options] file", option_list = option_list) args <- parse_args(parser) samples <- substr(args$sample, 2, nchar(args$sample) - 2) samples <- strsplit(samples, ", ") - + # data frames implementation -table <- read.delim(args$input, header = F) +table <- read.delim(args$input, header = FALSE) headers <- c("chromosome", "start", "end", "id") for (i in seq(1, length(table) - 4)) { headers <- c(headers, samples[[1]][i]) -colnames(table) <- headers + colnames(table) <- headers } ## function if (args$method == "bedtools") { cumul <- function(x, y) sum(table[, y] / (table$end - table$start) > x) / length(table$chromosome) - } else { +} else { cumul <- function(x, y) sum(table[, y] > x) / length(table$chromosome) - } +} scale_fun <- function(x) sprintf("%.3f", x) ## end of function ## let's do a dataframe before plotting if (args$method == "bedtools") { maxdepth <- trunc(max(table[, 5:length(table)] / (table$end - table$start))) + 20 - } else { +} else { maxdepth <- trunc(max(table[, 5:length(table)])) + 20 - } +} graphpoints <- data.frame(1:maxdepth) i <- 5 for (colonne in colnames(table)[5:length(colnames(table))]) { - graphpoints <- cbind(graphpoints, mapply(cumul, 1:maxdepth, rep(i, maxdepth))) + graphpoints <- cbind(graphpoints, mapply(cumul, 1:maxdepth, rep(i, maxdepth))) i <- i + 1 - } +} colnames(graphpoints) <- c("Depth", colnames(table)[5:length(table)]) maxfrac <- max(graphpoints[, 2:length(graphpoints)]) @@ -64,11 +66,13 @@ pdf(file = args$output) ggplot(data = graphpoints, aes(x = Depth, y = sample_value, colour = Samples)) + - geom_line(size = 1) + - scale_x_continuous(trans = "log2", breaks = 2 ^ (seq(0, log(maxdepth, 2)))) + - scale_y_continuous(breaks = seq(0, maxfrac, by = maxfrac / 10), labels = scale_fun) + - labs(x = args$xlab, y = args$ylab, title = args$title) + - theme(legend.position = "top", legend.title = element_blank(), - legend.text = element_text(colour = "blue", size = 7)) + geom_line(size = 1) + + scale_x_continuous(trans = "log2", breaks = 2^(seq(0, log(maxdepth, 2)))) + + scale_y_continuous(breaks = seq(0, maxfrac, by = maxfrac / 10), labels = scale_fun) + + labs(x = args$xlab, y = args$ylab, title = args$title) + + theme( + legend.position = "top", legend.title = element_blank(), + legend.text = element_text(colour = "blue", size = 7) + ) devname <- dev.off() diff -r bea8435e1e79 -r 0adb846ca056 probecoverage.xml --- a/probecoverage.xml Thu Jun 03 23:59:31 2021 +0000 +++ b/probecoverage.xml Tue Feb 20 08:34:16 2024 +0000 @@ -1,19 +1,25 @@ - + - - samtools - bedtools - r-optparse - r-ggplot2 - numpy - pysam - + + 0.22.0 + 0 + 23.0 + + + pysam + bedtools + r-optparse + r-ggplot2 + r-reshape2 + numpy + $coverage_dataframe && Rscript '$__tool_directory__'/probecoverage.r diff -r bea8435e1e79 -r 0adb846ca056 test-data/graph.pdf Binary file test-data/graph.pdf has changed diff -r bea8435e1e79 -r 0adb846ca056 test-data/graph_pysam.pdf Binary file test-data/graph_pysam.pdf has changed