Mercurial > repos > rnateam > chipseeker
view chipseeker.R @ 4:90fe78a19b55 draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/chipseeker commit 6f594126ac7369cc80c30a02a6df57e785dfb45a
author | rnateam |
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date | Mon, 26 Nov 2018 06:21:37 -0500 |
parents | 535321abf9a4 |
children | b418a1d3585d |
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options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } ) # we need that to not crash galaxy with an UTF8 error on German LC settings. loc <- Sys.setlocale("LC_MESSAGES", "en_US.UTF-8") suppressPackageStartupMessages({ library(ChIPseeker) library(GenomicFeatures) library(rtracklayer) library(optparse) }) option_list <- list( make_option(c("-i","--infile"), type="character", help="Peaks file to be annotated"), make_option(c("-G","--gtf"), type="character", help="GTF to create TxDb."), make_option(c("-u","--upstream"), type="integer", help="TSS upstream region"), make_option(c("-d","--downstream"), type="integer", help="TSS downstream region"), make_option(c("-F","--flankgeneinfo"), type="logical", help="Add flanking gene info"), make_option(c("-D","--flankgenedist"), type="integer", help="Flanking gene distance"), make_option(c("-f","--format"), type="character", help="Output format (interval or tabular)."), make_option(c("-p","--plots"), type="logical", help="PDF of plots."), make_option(c("-r","--rdata"), type="logical", help="Output RData file.") ) parser <- OptionParser(usage = "%prog [options] file", option_list=option_list) args = parse_args(parser) peaks = args$infile gtf = args$gtf up = args$upstream down = args$downstream format = args$format peaks <- readPeakFile(peaks) # Make TxDb from GTF txdb <- makeTxDbFromGFF(gtf, format="gtf") if (!is.null(args$flankgeneinfo)) { peakAnno <- annotatePeak(peaks, TxDb=txdb, tssRegion=c(-up, down), addFlankGeneInfo=args$flankgeneinfo, flankDistance=args$flankgenedist) } else { peakAnno <- annotatePeak(peaks, TxDb=txdb, tssRegion=c(-up, down)) } # Add gene name features <- import(gtf, format="gtf") ann <- unique(mcols(features)[, c("gene_id", "gene_name")]) res <- as.data.frame(peakAnno) res <- merge(res, ann, by.x="geneId", by.y="gene_id") names(res)[names(res) == "gene_name"] <- "geneName" #Extract metadata cols, 1st is geneId, rest should be from col 7 to end metacols <- res[, c(7:ncol(res), 1)] # Convert from 1-based to 0-based format if (format == "interval") { metacols <- apply(as.data.frame(metacols), 1, function(col) paste(col, collapse="|")) resout <- data.frame(res$seqnames, res$start - 1, res$end, metacols) colnames(resout)[1:4] <- c("Chrom", "Start", "End", "Comment") } else { resout <- data.frame(res$seqnames, res$start - 1, res$end, metacols) colnames(resout)[1:3] <- c("Chrom", "Start", "End") } write.table(resout, file="out.tab", sep="\t", row.names=FALSE, quote=FALSE) if (!is.null(args$plots)) { pdf("out.pdf", width=14) plotAnnoPie(peakAnno) plotAnnoBar(peakAnno) vennpie(peakAnno) upsetplot(peakAnno) plotDistToTSS(peakAnno, title="Distribution of transcription factor-binding loci\nrelative to TSS") dev.off() } ## Output RData file if (!is.null(args$rdata)) { save.image(file = "ChIPseeker_analysis.RData") }