Mercurial > repos > devteam > cummerbund
diff test-data/heatmap.txt @ 0:587c425b4e76 draft
Initial commit with version 1.0.0 of the cummeRbund wrapper.
author | devteam |
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date | Tue, 23 Dec 2014 15:58:27 -0500 |
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children | 78fcfc04fcfe |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/heatmap.txt Tue Dec 23 15:58:27 2014 -0500 @@ -0,0 +1,340 @@ + +R version 3.1.2 (2014-10-31) -- "Pumpkin Helmet" +Copyright (C) 2014 The R Foundation for Statistical Computing +Platform: x86_64-unknown-linux-gnu (64-bit) + +R is free software and comes with ABSOLUTELY NO WARRANTY. +You are welcome to redistribute it under certain conditions. +Type 'license()' or 'licence()' for distribution details. + + Natural language support but running in an English locale + +R is a collaborative project with many contributors. +Type 'contributors()' for more information and +'citation()' on how to cite R or R packages in publications. + +Type 'demo()' for some demos, 'help()' for on-line help, or +'help.start()' for an HTML browser interface to help. +Type 'q()' to quit R. + +> ## Feature Selection ## +> get_features <- function(myGenes, f="gene") { ++ if (f == "isoforms") ++ return(isoforms(myGenes)) ++ else if (f == "tss") ++ return(TSS(myGenes)) ++ else if (f == "cds") ++ return(CDS(myGenes)) ++ else ++ return(myGenes) ++ } +> +> ## Main Function ## +> +> library(argparse) +Loading required package: proto +> +> parser <- ArgumentParser(description='Create a plot with cummeRbund') +> +> parser$add_argument('--type', dest='plotType', default='Density', required=TRUE) +> parser$add_argument('--height', dest='height', type='integer', default=960, required=TRUE) +> parser$add_argument('--width', dest='width', type='integer', default=1280, required=TRUE) +> parser$add_argument('--outfile', dest='filename', default="plot-unknown-0.png", required=TRUE) +> parser$add_argument('--input', dest='input_database', default="cuffData.db", required=TRUE) +> parser$add_argument('--smooth', dest='smooth', action="store_true", default=FALSE) +> parser$add_argument('--gene_selector', dest='gene_selector', action="store_true", default=FALSE) +> parser$add_argument('--replicates', dest='replicates', action="store_true", default=FALSE) +> parser$add_argument('--labcol', dest='labcol', action="store_true", default=FALSE) +> parser$add_argument('--labrow', dest='labrow', action="store_true", default=FALSE) +> parser$add_argument('--border', dest='border', action="store_true", default=FALSE) +> parser$add_argument('--summary', dest='summary', action="store_true", default=FALSE) +> parser$add_argument('--count', dest='count', action="store_true", default=FALSE) +> parser$add_argument('--error_bars', dest='error_bars', action="store_true", default=FALSE) +> parser$add_argument('--log10', dest='log10', action="store_true", default=FALSE) +> parser$add_argument('--features', dest='features', action="store", default="genes") +> parser$add_argument('--clustering', dest='clustering', action="store", default="both") +> parser$add_argument('--iter_max', dest='iter_max', action="store") +> parser$add_argument('--genes', dest='genes', action="append") +> parser$add_argument('--k', dest='k', action="store") +> parser$add_argument('--x', dest='x', action="store") +> parser$add_argument('--y', dest='y', action="store") +> +> args <- parser$parse_args() +> +> print(args) +$border +[1] FALSE + +$clustering +[1] "both" + +$count +[1] FALSE + +$error_bars +[1] FALSE + +$features +[1] "gene" + +$filename +[1] "plot-heatmap-0.png" + +$gene_selector +[1] FALSE + +$genes +[1] "XLOC_000078" + +$height +[1] 960 + +$input_database +[1] "/tmp/tmpCu9yWT/tmpPy7OpW/database/files/000/dataset_22.dat" + +$iter_max +NULL + +$k +NULL + +$labcol +[1] TRUE + +$labrow +[1] TRUE + +$log10 +[1] TRUE + +$plotType +[1] "heatmap" + +$replicates +[1] FALSE + +$smooth +[1] FALSE + +$summary +[1] FALSE + +$width +[1] 1280 + +$x +NULL + +$y +NULL + +> +> #q() +> +> ## Load cummeRbund library +> library("cummeRbund") +Loading required package: BiocGenerics +Loading required package: parallel + +Attaching package: ‘BiocGenerics’ + +The following objects are masked from ‘package:parallel’: + + clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, + clusterExport, clusterMap, parApply, parCapply, parLapply, + parLapplyLB, parRapply, parSapply, parSapplyLB + +The following object is masked from ‘package:stats’: + + xtabs + +The following objects are masked from ‘package:base’: + + anyDuplicated, append, as.data.frame, as.vector, cbind, colnames, + do.call, duplicated, eval, evalq, Filter, Find, get, intersect, + is.unsorted, lapply, Map, mapply, match, mget, order, paste, pmax, + pmax.int, pmin, pmin.int, Position, rank, rbind, Reduce, rep.int, + rownames, sapply, setdiff, sort, table, tapply, union, unique, + unlist, unsplit + +Loading required package: RSQLite +Loading required package: DBI +Loading required package: ggplot2 +Loading required package: reshape2 +Loading required package: fastcluster + +Attaching package: ‘fastcluster’ + +The following object is masked from ‘package:stats’: + + hclust + +Loading required package: rtracklayer +Loading required package: GenomicRanges +Loading required package: S4Vectors +Loading required package: stats4 +Loading required package: IRanges +Loading required package: GenomeInfoDb +Loading required package: Gviz +Loading required package: grid + +Attaching package: ‘cummeRbund’ + +The following object is masked from ‘package:GenomicRanges’: + + promoters + +The following object is masked from ‘package:IRanges’: + + promoters + +The following object is masked from ‘package:BiocGenerics’: + + conditions + +> +> ## Initialize cuff object +> cuff <- readCufflinks(dir = "", dbFile = args$input_database, rebuild = FALSE) +> +> ## Print out info +> print(cuff) +CuffSet instance with: + 2 samples + 87 genes + 90 isoforms + 88 TSS + 0 CDS + 87 promoters + 88 splicing + 0 relCDS +> sink("cuffdb_info.txt") +> print(cuff) +> print("SAMPLES:") +> samples(cuff) +> print("REPLICATES:") +> replicates(cuff) +> print("FEATURES:") +> print(annotation(genes(cuff))) +> cat(annotation(genes(cuff))[[1]],sep=",") +> sink() +> +> png(filename = args$filename, width = args$width, height = args$height, type=c('cairo-png')) +> tryCatch({ ++ if (args$plotType == 'density') { ++ csDensity(genes(cuff), replicates=args$replicates, logMode=args$log10) ++ } ++ else if (args$plotType == 'boxplot') { ++ csBoxplot(genes(cuff), replicates=args$replicates, logMode=args$log10) ++ } ++ else if (args$plotType == 'mds') { ++ MDSplot(genes(cuff), replicates=args$replicates) ++ } ++ else if (args$plotType == 'pca') { ++ PCAplot(genes(cuff), "PC1", "PC2", replicates=args$replicates) ++ } ++ else if (args$plotType == 'dendrogram') { ++ csDendro(genes(cuff), replicates=args$replicates) ++ } ++ else if (args$plotType == 'scatter') { ++ if (args$gene_selector) { ++ myGenes <- getGenes(cuff, args$genes) ++ csScatter(get_features(myGenes, args$features), args$x, args$y, smooth=args$smooth, logMode=args$log10) ++ } ++ else { ++ csScatter(genes(cuff), args$x, args$y, smooth=args$smooth, logMode=args$log10) ++ } ++ } ++ else if (args$plotType == 'volcano') { ++ if (args$gene_selector) { ++ myGenes <- get_features(getGenes(cuff, args$genes), args$features) ++ } ++ else { ++ myGenes <- genes(cuff) ++ } ++ csVolcano(myGenes, args$x, args$y) ++ } ++ else if (args$plotType == 'heatmap') { ++ if (args$gene_selector) { ++ myGenes <- getGenes(cuff, args$genes) ++ } ++ else { ++ myGenes <- getGenes(cuff,annotation(genes(cuff))[[1]]) ++ } ++ csHeatmap(get_features(myGenes, args$features), clustering=args$clustering, labCol=args$labcol, labRow=args$labrow, border=args$border, logMode=args$log10) ++ } ++ else if (args$plotType == 'cluster') { ++ myGenes <- getGenes(cuff, args$genes) ++ csCluster(get_features(myGenes, args$features), k=args$k) ++ } ++ else if (args$plotType == 'dispersion') { ++ dispersionPlot(genes(cuff)) ++ } ++ else if (args$plotType == 'fpkmSCV') { ++ fpkmSCVPlot(genes(cuff)) ++ } ++ else if (args$plotType == 'scatterMatrix') { ++ csScatterMatrix(genes(cuff)) ++ } ++ else if (args$plotType == 'expressionplot') { ++ myGenes <- getGenes(cuff, args$genes) ++ expressionPlot(get_features(myGenes, args$features), drawSummary=args$summary, showErrorbars=args$error_bars, replicates=args$replicates) ++ } ++ else if (args$plotType == 'expressionbarplot') { ++ myGeneId <- args$genes ++ myGenes <- getGenes(cuff, myGeneId) ++ expressionBarplot(get_features(myGenes, args$features), showErrorbars=args$error_bars, replicates=args$replicates) ++ } ++ else if (args$plotType == 'mds') { ++ MDSplot(genes(cuff),replicates=args$replicates) ++ } ++ else if (args$plotType == 'pca') { ++ PCAplot(genes(cuff),"PC1","PC2", replicates=args$replicates) ++ } ++ else if (args$plotType == 'maplot') { ++ MAplot(genes(cuff), args$x, args$y, useCount=args$count) ++ } ++ else if (args$plotType == 'genetrack') { ++ myGene <- getGene(cuff, args$genes) ++ plotTracks(makeGeneRegionTrack(myGene)) ++ } ++ },error = function(e) { ++ write(paste("Failed:", e, sep=" "), stderr()) ++ q("no", 1, TRUE) ++ }) +Getting gene information: + FPKM + Differential Expression Data + Annotation Data + Replicate FPKMs + Counts +Getting isoforms information: + FPKM + Differential Expression Data + Annotation Data + Replicate FPKMs + Counts +Getting CDS information: + FPKM + Differential Expression Data + Annotation Data + Replicate FPKMs + Counts +Getting TSS information: + FPKM + Differential Expression Data + Annotation Data + Replicate FPKMs + Counts +Getting promoter information: + distData +Getting splicing information: + distData +Getting relCDS information: + distData +Using tracking_id, sample_name as id variables +No id variables; using all as measure variables +Fontconfig error: Cannot load default config file +> devname = dev.off() +> +> #end for +>