Mercurial > repos > mvdbeek > r_goseq_1_22_0
diff goseq.r @ 0:a6427f7893b0 draft
planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/goseq_1_22_0 commit fdd0811efc61c31f88ff17096fbe8ee8cfacd766-dirty
author | mvdbeek |
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date | Fri, 26 Feb 2016 06:57:47 -0500 |
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children | 81283f3d65c7 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/goseq.r Fri Feb 26 06:57:47 2016 -0500 @@ -0,0 +1,85 @@ +sink(stdout(), type = "message") +library(goseq) +library(optparse) + +option_list <- list( + make_option(c("-d", "--dge_file"), type="character", help="Path to file with differential gene expression result"), + make_option(c("-w","--wallenius_tab"), type="character", help="Path to output file with P-values estimated using wallenius distribution."), + make_option(c("-s","--sampling_tab"), type="character", default=FALSE, help="Path to output file with P-values estimated using wallenius distribution."), + make_option(c("-n","--nobias_tab"), type="character", default=FALSE, help="Path to output file with P-values estimated using wallenius distribution and no correction for gene length bias."), + make_option(c("-l","--length_bias_plot"), type="character", default=FALSE, help="Path to length-bias plot."), + make_option(c("-sw","--sample_vs_wallenius_plot"), type="character", default=FALSE, help="Path to plot comparing sampling with wallenius p-values."), + make_option(c("-padj", "--p_adj_column"), type="integer",help="Column that contains p. adjust values"), + make_option(c("-c", "--cutoff"), type="double",dest="p_adj_cutoff", + help="Genes with p.adjust below cutoff are considered not differentially expressed and serve as control genes"), + make_option(c("-r", "--repcnt"), type="integer", default=100, help="Number of repeats for sampling"), + make_option(c("-lf", "--length_file"), default=FALSE, help = "Path to "), + make_option(c("-g", "--genome"), type="character", help = "Genome [used for looking up correct gene length]"), + make_option(c("-i", "--gene_id"), type="character", help="Gene ID of gene column in DGE file") + ) +parser <- OptionParser(usage = "%prog [options] file", option_list=option_list) +args = parse_args(parser) + +# Vars: +dge_file = args$dge_file +p_adj_column = args$p_adj_colum +p_adj_cutoff = args$p_adj_cutoff +length_file = args$length_file +genome = args$genome +gene_id = args$gene_id +wallenius_tab = args$wallenius_tab +sampling_tab = args$sampling_tab +nobias_tab = args$nobias_tab +length_bias_plot = args$length_bias_plot +sample_vs_wallenius_plot = args$sample_vs_wallenius_plot +repcnt = args$repcnt + + +# format DE genes into vector suitable for use with goseq +dge_table = read.delim(dge_file, header = TRUE, sep="\t", check.names = FALSE) +genes = as.integer(dge_table[,p_adj_column]<p_adj_cutoff) +names(genes) = dge_table[,1] # Assuming first row contains gene names + +# Get gene lengths + +if (length_file) { + length_table = read.delim(length_file, header=TRUE, sep="\t", check.names=FALSE, row.names=TRUE) + gene_lengths = length_table[names(genes),]$length + } else { + gene_lengths = getlength(names(genes), genome, gene_id) + } + +# Estimate PWF + +pdf(length_bias_plot) +pwf=nullp(genes, genome, gene_id, gene_lengths) +dev.off() +# wallenius approximation of p-values +GO.wall=goseq(pwf, genome, gene_id) + +GO.nobias=goseq(pwf, genome, gene_id, method="Hypergeometric") + +# Sampling distribution +if (repcnt > 0) { + GO.samp=goseq(pwf,genome, gene_id, method="Sampling", repcnt=repcnt) + # Compare sampling with wallenius + pdf(sample_vs_wallenius_plot) + plot(log10(GO.wall[,2]), log10(GO.samp[match(GO.samp[,1],GO.wall[,1]),2]), + xlab="log10(Wallenius p-values)",ylab="log10(Sampling p-values)", + xlim=c(-3,0)) + abline(0,1,col=3,lty=2) + dev.off() + write.table(GO.samp, sampling_tab, sep="\t", row.names = FALSE, quote = FALSE) +} + + +write.table(GO.wall, wallenius_tab, sep="\t", row.names = FALSE, quote = FALSE) +write.table(GO.nobias, nobias_tab, sep="\t", row.names = FALSE, quote = FALSE) + +sessionInfo() + +# Use the following to get a list of supported genomes / gene ids + +# write.table(supportedGenomes(), "available_genomes.tab", row.names = FALSE, quote=FALSE) +# write.table(supportedGeneIDs(), "supported_gene_ids.tab", row.name = FALSE, quote = FALSE) +# write.table(table.summary, "input_gene_count_matrix.tab", row.names = FALSE, quote = FALSE)