Repository 'diffbind'
hg clone https://toolshed.g2.bx.psu.edu/repos/bgruening/diffbind

Changeset 16:163688bb8f73 (2020-11-18)
Previous changeset 15:194e3f2c1d86 (2019-07-09) Next changeset 17:2605cbdaa7d8 (2023-12-15)
Commit message:
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/diffbind commit 77828512472bf9815bdda725a58a2321f7803661"
modified:
diffbind.R
diffbind.xml
b
diff -r 194e3f2c1d86 -r 163688bb8f73 diffbind.R
--- a/diffbind.R Tue Jul 09 18:46:09 2019 -0400
+++ b/diffbind.R Wed Nov 18 12:54:07 2020 +0000
[
b'@@ -1,12 +1,14 @@\n ## Setup R error handling to go to stderr\n-options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } )\n+options(show.error.messages = F, error = function() {\n+    cat(geterrmessage(), file = stderr()); q("no", 1, F)\n+})\n # we need that to not crash galaxy with an UTF8 error on German LC settings.\n Sys.setlocale("LC_MESSAGES", "en_US.UTF-8")\n \n suppressPackageStartupMessages({\n-    library(\'getopt\')\n-    library(\'DiffBind\')\n-    library(\'rjson\')\n+    library("getopt")\n+    library("DiffBind")\n+    library("rjson")\n })\n \n options(stringAsfactors = FALSE, useFancyQuotes = FALSE)\n@@ -14,128 +16,128 @@\n \n #get options, using the spec as defined by the enclosed list.\n #we read the options from the default: commandArgs(TRUE).\n-spec = matrix(c(\n-    \'infile\' , \'i\', 1, "character",\n-    \'outfile\' , \'o\', 1, "character",\n-    \'scorecol\', \'n\', 1, "integer",\n-    \'lowerbetter\', \'l\', 1, "logical",\n-    \'summits\', \'s\', 1, "integer",\n-    \'th\', \'t\', 1, "double",\n-    \'format\', \'f\', 1, "character",\n-    \'plots\' , \'p\', 2, "character",\n-    \'bmatrix\', \'b\', 0, "logical",\n+spec <- matrix(c(\n+    "infile", "i", 1, "character",\n+    "outfile", "o", 1, "character",\n+    "scorecol", "n", 1, "integer",\n+    "lowerbetter", "l", 1, "logical",\n+    "summits", "s", 1, "integer",\n+    "th", "t", 1, "double",\n+    "format", "f", 1, "character",\n+    "plots", "p", 2, "character",\n+    "bmatrix", "b", 0, "logical",\n     "rdaOpt", "r", 0, "logical",\n-    \'infoOpt\' , \'a\', 0, "logical",\n-    \'verbose\', \'v\', 2, "integer",\n-    \'help\' , \'h\', 0, "logical"\n-), byrow=TRUE, ncol=4);\n+    "infoOpt", "a", 0, "logical",\n+    "verbose", "v", 2, "integer",\n+    "help", "h", 0, "logical"\n+), byrow = TRUE, ncol = 4);\n \n-opt = getopt(spec);\n+opt <- getopt(spec);\n \n # if help was asked for print a friendly message\n # and exit with a non-zero error code\n-if ( !is.null(opt$help) ) {\n-    cat(getopt(spec, usage=TRUE));\n-    q(status=1);\n+if (!is.null(opt$help)) {\n+    cat(getopt(spec, usage = TRUE));\n+    q(status = 1);\n }\n \n parser <- newJSONParser()\n parser$addData(opt$infile)\n-factorList <- parser$getObject()\n-filenamesIn <- unname(unlist(factorList[[1]][[2]]))\n-peaks <- filenamesIn[grepl("peaks.bed", filenamesIn)]\n-bams <- filenamesIn[grepl("bamreads.bam", filenamesIn)]\n-ctrls <- filenamesIn[grepl("bamcontrol.bam", filenamesIn)]\n+factor_list <- parser$getObject()\n+filenames_in <- unname(unlist(factor_list[[1]][[2]]))\n+peaks <- filenames_in[grepl("peaks.bed", filenames_in)]\n+bams <- filenames_in[grepl("bamreads.bam", filenames_in)]\n+ctrls <- filenames_in[grepl("bamcontrol.bam", filenames_in)]\n \n # get the group and sample id from the peaks filenames\n-groups <- sapply(strsplit(peaks,"-"), `[`, 1)\n-samples <- sapply(strsplit(peaks,"-"), `[`, 2)\n+groups <- sapply(strsplit(peaks, "-"), `[`, 1)\n+samples <- sapply(strsplit(peaks, "-"), `[`, 2)\n \n-if ( length(ctrls) != 0 ) {\n-    sampleTable <- data.frame(SampleID=samples,\n-                        Condition=groups,\n-                        bamReads=bams,\n-                        bamControl=ctrls,\n-                        Peaks=peaks,\n-                        Tissue=samples) # using "Tissue" column to display ids as labels in PCA plot\n+if (length(ctrls) != 0) {\n+    sample_table <- data.frame(SampleID = samples,\n+                        Condition = groups,\n+                        bamReads = bams,\n+                        bamControl = ctrls,\n+                        Peaks = peaks,\n+                        Tissue = samples) # using "Tissue" column to display ids as labels in PCA plot\n } else {\n \n-    sampleTable <- data.frame(SampleID=samples,\n-                        Replicate=samples,\n-                        Condition=groups,\n-                        bamReads=bams,\n-                        Peaks=peaks,\n-                        Tissue=samples)\n+    sample_table <- data.frame(SampleID = samples,\n+                        Replicate = samples,\n+                      '..b'/89341/)\n if (opt$format == "bed") {\n-    resSorted  <- data.frame(Chrom=seqnames(resSorted),\n-        Start=start(resSorted) - 1,\n-        End=end(resSorted),\n-        Name=rep("DiffBind", length(resSorted)),\n-        Score=rep("0", length(resSorted)),\n-        Strand=gsub("\\\\*", ".", strand(resSorted)))\n+    res_sorted  <- data.frame(Chrom = seqnames(res_sorted),\n+        Start = start(res_sorted) - 1,\n+        End = end(res_sorted),\n+        Name = rep("DiffBind", length(res_sorted)),\n+        Score = rep("0", length(res_sorted)),\n+        Strand = gsub("\\\\*", ".", strand(res_sorted)))\n } else if (opt$format == "interval") {\n      # Output as interval\n-    df <- as.data.frame(resSorted)\n+    df <- as.data.frame(res_sorted)\n     extrainfo <- NULL\n-    for (i in 1:nrow(df)) {\n-        extrainfo[i] <- paste0(c(df$width[i], df[i, 6:ncol(df)]), collapse="|")\n+    for (i in seq_len(nrow(df))) {\n+        extrainfo[i] <- paste0(c(df$width[i], df[i, 6:ncol(df)]), collapse = "|")\n     }\n-    resSorted  <- data.frame(Chrom=seqnames(resSorted),\n-        Start=start(resSorted) - 1,\n-        End=end(resSorted),\n-        Name=rep("DiffBind", length(resSorted)),\n-        Score=rep("0", length(resSorted)),\n-        Strand=gsub("\\\\*", ".", strand(resSorted)),\n-        Comment=extrainfo)\n+    res_sorted  <- data.frame(Chrom = seqnames(res_sorted),\n+        Start = start(res_sorted) - 1,\n+        End = end(res_sorted),\n+        Name = rep("DiffBind", length(res_sorted)),\n+        Score = rep("0", length(res_sorted)),\n+        Strand = gsub("\\\\*", ".", strand(res_sorted)),\n+        Comment = extrainfo)\n } else {\n     # Output as 0-based tabular\n-    resSorted <- data.frame(Chrom=seqnames(resSorted),\n-        Start=start(resSorted) - 1,\n-        End=end(resSorted),\n-        Name=rep("DiffBind", length(resSorted)),\n-        Score=rep("0", length(resSorted)),\n-        Strand=gsub("\\\\*", ".", strand(resSorted)),\n-        mcols(resSorted))\n+    res_sorted <- data.frame(Chrom = seqnames(res_sorted),\n+        Start = start(res_sorted) - 1,\n+        End = end(res_sorted),\n+        Name = rep("DiffBind", length(res_sorted)),\n+        Score = rep("0", length(res_sorted)),\n+        Strand = gsub("\\\\*", ".", strand(res_sorted)),\n+        mcols(res_sorted))\n }\n-write.table(resSorted, file = opt$outfile, sep="\\t", quote = FALSE, row.names = FALSE)\n+write.table(res_sorted, file = opt$outfile, sep = "\\t", quote = FALSE, row.names = FALSE)\n \n # Output binding affinity scores\n if (!is.null(opt$bmatrix)) {\n-    bmat <- dba.peakset(sample_count, bRetrieve=TRUE, DataType=DBA_DATA_FRAME)\n+    bmat <- dba.peakset(sample_count, bRetrieve = TRUE, DataType = DBA_DATA_FRAME)\n     # Output as 0-based tabular\n-    bmat <- data.frame(Chrom=bmat[, 1],\n-        Start=bmat[, 2] - 1,\n-        End=bmat[, 3],\n+    bmat <- data.frame(Chrom = bmat[, 1],\n+        Start = bmat[, 2] - 1,\n+        End = bmat[, 3],\n         bmat[, 4:ncol(bmat)])\n-    write.table(bmat, file="bmatrix.tab", sep="\\t", quote=FALSE, row.names=FALSE)\n+    write.table(bmat, file = "bmatrix.tab", sep = "\\t", quote = FALSE, row.names = FALSE)\n }\n \n # Output RData file\n@@ -146,10 +148,10 @@\n # Output analysis info\n if (!is.null(opt$infoOpt)) {\n     info <- "DiffBind_analysis_info.txt"\n-    cat("dba.count Info\\n\\n", file=info, append = TRUE)\n-    capture.output(sample, file=info, append=TRUE)\n-    cat("\\ndba.analyze Info\\n\\n", file=info, append = TRUE)\n-    capture.output(sample_analyze, file=info, append=TRUE)\n-    cat("\\nSessionInfo\\n\\n", file=info, append = TRUE)\n-    capture.output(sessionInfo(), file=info, append=TRUE)\n-}\n\\ No newline at end of file\n+    cat("dba.count Info\\n\\n", file = info, append = TRUE)\n+    capture.output(sample, file = info, append = TRUE)\n+    cat("\\ndba.analyze Info\\n\\n", file = info, append = TRUE)\n+    capture.output(sample_analyze, file = info, append = TRUE)\n+    cat("\\nSessionInfo\\n\\n", file = info, append = TRUE)\n+    capture.output(sessionInfo(), file = info, append = TRUE)\n+}\n'
b
diff -r 194e3f2c1d86 -r 163688bb8f73 diffbind.xml
--- a/diffbind.xml Tue Jul 09 18:46:09 2019 -0400
+++ b/diffbind.xml Wed Nov 18 12:54:07 2020 +0000
b
@@ -1,7 +1,8 @@
-<tool id="diffbind" name="DiffBind" version="2.10.0">
+<tool id="diffbind" name="DiffBind" version="2.10.0+galaxy0">
     <description> differential binding analysis of ChIP-Seq peak data</description>
     <requirements>
         <requirement type="package" version="2.10.0">bioconductor-diffbind</requirement>
+        <requirement type="package" version="3.5.1">r-base</requirement>
         <requirement type="package" version="1.20.3">r-getopt</requirement>
         <requirement type="package" version="0.2.20">r-rjson</requirement>
     </requirements>