Mercurial > repos > artbio > small_rna_maps
changeset 5:12c14642e6ac draft
planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/small_rna_maps commit 24a21619d79d83b38cef7f1a7b858c621e4c8449
author | artbio |
---|---|
date | Sun, 08 Oct 2017 17:56:13 -0400 |
parents | a6b9a081064b |
children | a3be3601bcb3 |
files | small_rna_maps.py small_rna_maps.r small_rna_maps.xml test-data/count-coverage.pdf test-data/count-mean.pdf test-data/count-median.pdf test-data/count-size.pdf test-data/count.pdf test-data/count.tab test-data/coverage.pdf test-data/double_mean.tab test-data/doubled_count-mean.pdf test-data/doubled_count.tab test-data/doubled_mean.pdf test-data/doubled_mean.tab test-data/doubled_readmap.tab test-data/mean.pdf test-data/median.pdf test-data/readmap.tab test-data/size-count.pdf test-data/size.pdf test-data/size.tab test-data/sizes.pdf |
diffstat | 23 files changed, 2103 insertions(+), 1947 deletions(-) [+] |
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--- a/small_rna_maps.py Fri Aug 25 12:22:03 2017 -0400 +++ b/small_rna_maps.py Sun Oct 08 17:56:13 2017 -0400 @@ -186,7 +186,7 @@ for method, output in zip(methods, outputs): F = open(output, 'w') if method == 'Size': - header = ["Dataset", "Chromosome", "Polarity", method, "Count"] + header = ["Dataset", "Chromosome", "Polarity", method, "Counts"] else: header = ["Dataset", "Chromosome", "Chrom_length", "Coordinate", "Polarity", method]
--- a/small_rna_maps.r Fri Aug 25 12:22:03 2017 -0400 +++ b/small_rna_maps.r Sun Oct 08 17:56:13 2017 -0400 @@ -1,7 +1,7 @@ ## Setup R error handling to go to stderr options( show.error.messages=F, error = function () { cat( geterrmessage(), file=stderr() ); q( "no", 1, F ) } ) -warnings() +# options(warn = -1) library(RColorBrewer) library(lattice) library(latticeExtra) @@ -12,6 +12,7 @@ option_list <- list( make_option(c("-f", "--first_dataframe"), type="character", help="path to first dataframe"), make_option(c("-e", "--extra_dataframe"), type="character", help="path to additional dataframe"), + make_option("--first_plot_method", type = "character", help="How additional data should be plotted"), make_option("--extra_plot_method", type = "character", help="How additional data should be plotted"), make_option("--output_pdf", type = "character", help="path to the pdf file with plots") ) @@ -20,122 +21,199 @@ args = parse_args(parser) # data frames implementation - +## first table Table = read.delim(args$first_dataframe, header=T, row.names=NULL) -Table <- within(Table, Counts[Polarity=="R"] <- (Counts[Polarity=="R"]*-1)) +if (args$first_plot_method == "Counts" | args$first_plot_method == "Size") { + Table <- within(Table, Counts[Polarity=="R"] <- (Counts[Polarity=="R"]*-1)) +} n_samples=length(unique(Table$Dataset)) genes=unique(levels(Table$Chromosome)) per_gene_readmap=lapply(genes, function(x) subset(Table, Chromosome==x)) per_gene_limit=lapply(genes, function(x) c(1, unique(subset(Table, Chromosome==x)$Chrom_length)) ) n_genes=length(per_gene_readmap) - -ExtraTable=read.delim(args$extra_dataframe, header=T, row.names=NULL) -if (args$extra_plot_method=='Size') { - ExtraTable <- within(ExtraTable, Count[Polarity=="R"] <- (Count[Polarity=="R"]*-1)) +# second table +if (args$extra_plot_method != '') { + ExtraTable=read.delim(args$extra_dataframe, header=T, row.names=NULL) + if (args$extra_plot_method == "Counts" | args$extra_plot_method=='Size') { + ExtraTable <- within(ExtraTable, Counts[Polarity=="R"] <- (Counts[Polarity=="R"]*-1)) + } + per_gene_size=lapply(genes, function(x) subset(ExtraTable, Chromosome==x)) } -per_gene_size=lapply(genes, function(x) subset(ExtraTable, Chromosome==x)) - -## end of data frames implementation ## functions -first_plot = function(df, ...) { - combineLimits(xyplot(Counts~Coordinate|factor(Dataset, levels=unique(Dataset))+factor(Chromosome, levels=unique(Chromosome)), - data=df, - type='h', - lwd=1.5, - scales= list(relation="free", x=list(rot=0, cex=0.7, axs="i", tck=0.5), y=list(tick.number=4, rot=90, cex=0.7)), - xlab=NULL, main=NULL, ylab=NULL, - as.table=T, - origin = 0, - horizontal=FALSE, - group=Polarity, - col=c("red","blue"), - par.strip.text = list(cex=0.7), - ...)) +plot_unit = function(df, method=args$first_plot_method, ...) { + if (method == 'Counts') { + p = xyplot(Counts~Coordinate|factor(Dataset, levels=unique(Dataset))+factor(Chromosome, levels=unique(Chromosome)), + data=df, + type='h', + lwd=1.5, + scales= list(relation="free", x=list(rot=0, cex=0.7, axs="i", tck=0.5), y=list(tick.number=4, rot=90, cex=0.7)), + xlab=NULL, main=NULL, ylab=NULL, + as.table=T, + origin = 0, + horizontal=FALSE, + group=Polarity, + col=c("red","blue"), + par.strip.text = list(cex=0.7), + ...) + } else if (method != "Size") { + p = xyplot(eval(as.name(method))~Coordinate|factor(Dataset, levels=unique(Dataset))+factor(Chromosome, levels=unique(Chromosome)), + data=df, + type='p', + pch=19, + cex=0.35, + scales= list(relation="free", x=list(rot=0, cex=0.7, axs="i", tck=0.5), y=list(tick.number=4, rot=90, cex=0.7)), + xlab=NULL, main=NULL, ylab=NULL, + as.table=T, + origin = 0, + horizontal=FALSE, + group=Polarity, + col=c("red","blue"), + par.strip.text = list(cex=0.7), + ...) + } else { + p = barchart(Counts~as.factor(Size)|factor(Dataset, levels=unique(Dataset))+Chromosome, data = df, origin = 0, + horizontal=FALSE, + group=Polarity, + stack=TRUE, + col=c('red', 'blue'), + scales=list(y=list(tick.number=4, rot=90, relation="free", cex=0.7), x=list(rot=0, cex=0.7, axs="i", tck=0.5)), + xlab = NULL, + ylab = NULL, + main = NULL, + as.table=TRUE, + par.strip.text = list(cex=0.6), + ...) } + combineLimits(p) +} + +plot_single <- function(df, method=args$first_plot_method, rows_per_page=rows_per_page, ...) { + if (method == 'Counts') { + p = xyplot(Counts~Coordinate|factor(Dataset, levels=unique(Dataset))+factor(Chromosome, levels=unique(Chromosome)), + data=df, + type='h', + lwd=1.5, + scales= list(relation="free", x=list(rot=0, cex=0.7, axs="i", tck=0.5), y=list(tick.number=4, rot=90, cex=0.7)), + xlab=list(label=bottom_first_method[[args$first_plot_method]], cex=.85), + ylab=list(label=legend_first_method[[args$first_plot_method]], cex=.85), + main=title_first_method[[args$first_plot_method]], + origin = 0, + group=Polarity, + col=c("red","blue"), + par.strip.text = list(cex=0.7), + as.table=T, + ...) + p = update(useOuterStrips(p, strip.left=strip.custom(par.strip.text = list(cex=0.5))), layout=c(n_samples, rows_per_page)) + return(p) + } else if (method != "Size") { + p = xyplot(eval(as.name(method))~Coordinate|factor(Dataset, levels=unique(Dataset))+factor(Chromosome, levels=unique(Chromosome)), + data=df, + type='p', + pch=19, + cex=0.35, + scales= list(relation="free", x=list(rot=0, cex=0.7, axs="i", tck=0.5), y=list(tick.number=4, rot=90, cex=0.7)), + xlab=list(label=bottom_first_method[[args$first_plot_method]], cex=.85), + ylab=list(label=legend_first_method[[args$first_plot_method]], cex=.85), + main=title_first_method[[args$first_plot_method]], + origin = 0, + group=Polarity, + col=c("red","blue"), + par.strip.text = list(cex=0.7), + as.table=T, + ...) + p = update(useOuterStrips(p, strip.left=strip.custom(par.strip.text = list(cex=0.5))), layout=c(n_samples, rows_per_page)) + return(p) + } else { + p= barchart(Counts~as.factor(Size)|factor(Dataset, levels=unique(Dataset))+Chromosome, data = df, origin = 0, + horizontal=FALSE, + group=Polarity, + stack=TRUE, + col=c('red', 'blue'), + scales=list(y=list(tick.number=4, rot=90, relation="free", cex=0.5, alternating=T), x=list(rot=0, cex=0.6, tck=0.5, alternating=c(3,3))), + xlab=list(label=bottom_first_method[[args$first_plot_method]], cex=.85), + ylab=list(label=legend_first_method[[args$first_plot_method]], cex=.85), + main=title_first_method[[args$first_plot_method]], + par.strip.text = list(cex=0.7), + nrow = 8, + as.table=TRUE, + + ...) + p = update(useOuterStrips(p, strip.left=strip.custom(par.strip.text = list(cex=0.5))), layout=c(n_samples, rows_per_page)) + + p = combineLimits(p, extend=TRUE) + return (p) + } +} + +## function parameters + +#par.settings.firstplot = list(layout.heights=list(top.padding=11, bottom.padding = -14)) +#par.settings.secondplot=list(layout.heights=list(top.padding=11, bottom.padding = -15), strip.background=list(col=c("lavender","deepskyblue"))) +par.settings.firstplot = list(layout.heights=list(top.padding=-2, bottom.padding=-2)) +par.settings.secondplot=list(layout.heights=list(top.padding=-1, bottom.padding=-1), strip.background=list(col=c("lavender","deepskyblue"))) +par.settings.single_plot=list(strip.background = list(col = c("lightblue", "lightgreen"))) +title_first_method = list(Counts="Read Counts", Coverage="Coverage depths", Median="Median sizes", Mean="Mean sizes", Size="Size Distributions") +title_extra_method = list(Counts="Read Counts", Coverage="Coverage depths", Median="Median sizes", Mean="Mean sizes", Size="Size Distributions") +legend_first_method =list(Counts="Read count", Coverage="Coverage depth", Median="Median size", Mean="Mean size", Size="Read count") +legend_extra_method =list(Counts="Read count", Coverage="Coveragedepth", Median="Median size", Mean="Mean size", Size="Read count") +bottom_first_method =list(Counts="Coordinates (nbre of bases)",Coverage="Coordinates (nbre of bases)", Median="Coordinates (nbre of bases)", Mean="Coordinates (nbre of bases)", Size="Sizes of reads") +bottom_extra_method =list(Counts="Coordinates (nbre of bases)",Coverage="Coordinates (nbre of bases)", Median="Coordinates (nbre of bases)", Mean="Coordinates (nbre of bases)", Size="Sizes of reads") + +## Plotting Functions + +double_plot <- function(...) { + if (n_genes > 5) {page_height=15; rows_per_page=10} else { + rows_per_page= 2 * n_genes; page_height=1.5*n_genes} + if (n_samples > 4) {page_width = 8.2677*n_samples/4} else {page_width = 7 * n_samples/2} + pdf(file=args$output_pdf, paper="special", height=page_height, width=page_width) + for (i in seq(1,n_genes,rows_per_page/2)) { + start=i + end=i+rows_per_page/2-1 + if (end>n_genes) {end=n_genes} + first_plot.list = lapply(per_gene_readmap[start:end], function(x) plot_unit(x, strip=FALSE, par.settings=par.settings.firstplot)) + second_plot.list = lapply(per_gene_size[start:end], function(x) plot_unit(x, method=args$extra_plot_method, par.settings=par.settings.secondplot)) + plot.list=rbind(second_plot.list, first_plot.list) + args_list=c(plot.list, list( nrow=rows_per_page+1, ncol=1, heights=unit(c(40,30,40,30,40,30,40,30,40,30,10), rep("mm", 11)), + top=textGrob(paste(title_first_method[[args$first_plot_method]], "and", title_extra_method[[args$extra_plot_method]]), gp=gpar(cex=1), vjust=0, just="top"), + left=textGrob(paste(legend_first_method[[args$first_plot_method]], "/", legend_extra_method[[args$extra_plot_method]]), gp=gpar(cex=1), vjust=2, rot=90), + sub=textGrob(paste(bottom_first_method[[args$first_plot_method]], "/", bottom_extra_method[[args$extra_plot_method]]), gp=gpar(cex=1), just="bottom", vjust=2) + ) + ) + do.call(grid.arrange, args_list) + } + devname=dev.off() +} -second_plot = function(df, ...) { - #smR.prepanel=function(x,y,...) {; yscale=c(y*0, max(abs(y)));list(ylim=yscale);} - sizeplot = xyplot(eval(as.name(args$extra_plot_method))~Coordinate|factor(Dataset, levels=unique(Dataset))+factor(Chromosome, levels=unique(Chromosome)), - data=df, - type='p', - cex=0.35, - pch=19, - scales= list(relation="free", x=list(rot=0, cex=0, axs="i", tck=0.5), y=list(tick.number=4, rot=90, cex=0.7)), - xlab=NULL, main=NULL, ylab=NULL, - as.table=T, - origin = 0, - horizontal=FALSE, - group=Polarity, - col=c("darkred","darkblue"), - par.strip.text = list(cex=0.7), - ...) - combineLimits(sizeplot) - } +single_plot <- function(...) { + width = 8.2677 * n_samples / 2 + rows_per_page=8 + pdf(file=args$output_pdf, paper="special", height=11.69, width=width) + for (i in seq(1,n_genes,rows_per_page)) { + start=i + end=i+rows_per_page-1 + if (end>n_genes) {end=n_genes} + bunch = do.call(rbind, per_gene_readmap[start:end]) # sub dataframe from the list + p = plot_single(bunch, method=args$first_plot_method, par.settings=par.settings.single_plot, rows_per_page=rows_per_page) + plot(p) + } + devname=dev.off() +} -second_plot_size = function(df, ...) { -# smR.prepanel=function(x,y,...){; yscale=c(-max(abs(y)), max(abs(y)));list(ylim=yscale);} - bc= barchart(Count~as.factor(Size)|factor(Dataset, levels=unique(Dataset))+Chromosome, data = df, origin = 0, - horizontal=FALSE, -group=Polarity, -stack=TRUE, - col=c('red', 'blue'), - cex=0.75, - scales=list(y=list(tick.number=4, rot=90, relation="free", cex=0.7), x=list(cex=0.7) ), -# prepanel=smR.prepanel, - xlab = NULL, - ylab = NULL, - main = NULL, - as.table=TRUE, - newpage = T, - par.strip.text = list(cex=0.7), - ...) - combineLimits(bc) - } +# main + +if (args$extra_plot_method != '') { double_plot() } +if (args$extra_plot_method == '') { + single_plot() +} -## end of functions -## function parameters -par.settings.readmap=list(layout.heights=list(top.padding=0, bottom.padding=0), strip.background = list(col=c("lightblue","lightgreen")) ) -par.settings.size=list(layout.heights=list(top.padding=0, bottom.padding=0)) -graph_title=list(Coverage="Read Maps and Coverages", Median="Read Maps and Median sizes", Mean="Read Maps and Mean sizes", SizeDistribution="Read Maps and Size Distributions") -graph_legend=list(Coverage="Read counts / Coverage", Median="Read counts / Median size", Mean="Read counts / Mean size", SizeDistribution="Read counts") -graph_bottom=list(Coverage="Nucleotide coordinates", Median="Nucleotide coordinates", Mean="Nucleotide coordinates", Size="Read sizes / Nucleotide coordinates") -## end of function parameters' -## GRAPHS - -if (n_genes > 5) {page_height_simple = 11.69; page_height_combi=11.69; rows_per_page=6} else { - rows_per_page= n_genes; page_height_simple = 2.5*n_genes; page_height_combi=page_height_simple*2 } -if (n_samples > 4) {page_width = 8.2677*n_samples/4} else {page_width = 8.2677*n_samples/2} # to test -pdf(file=args$output_pdf, paper="special", height=page_height_simple, width=page_width) -if (rows_per_page %% 2 != 0) { rows_per_page = rows_per_page + 1} -for (i in seq(1,n_genes,rows_per_page/2)) { - start=i - end=i+rows_per_page/2-1 - if (end>n_genes) {end=n_genes} - first_plot.list=lapply(per_gene_readmap[start:end], function(x) first_plot(x, strip=FALSE, par.settings=par.settings.readmap)) - if (args$extra_plot_method == "Size") { - second_plot.list=lapply(per_gene_size[start:end], function(x) second_plot_size(x, par.settings=par.settings.size)) - } - else { - second_plot.list=lapply(per_gene_size[start:end], function(x) second_plot(x, par.settings=par.settings.size)) - } - - - plot.list=rbind(second_plot.list, first_plot.list) - args_list=c(plot.list, list(nrow=rows_per_page+1, ncol=1, - top=textGrob(graph_title[[args$extra_plot_method]], gp=gpar(cex=1), just="top"), - left=textGrob(graph_legend[[args$extra_plot_method]], gp=gpar(cex=1), vjust=1, rot=90), - sub=textGrob(graph_bottom[[args$extra_plot_method]], gp=gpar(cex=1), just="bottom") - ) - ) -do.call(grid.arrange, args_list) -} -devname=dev.off() + +
--- a/small_rna_maps.xml Fri Aug 25 12:22:03 2017 -0400 +++ b/small_rna_maps.xml Sun Oct 08 17:56:13 2017 -0400 @@ -1,11 +1,11 @@ -<tool id="small_rna_maps" name="small_rna_maps" version="1.1.0"> +<tool id="small_rna_maps" name="small_rna_maps" version="2.0.0"> <description></description> <requirements> <requirement type="package" version="1.11.2=py27_0">numpy</requirement> <requirement type="package" version="0.11.2.1=py27_0">pysam</requirement> - <requirement type="package" version="1.3.2=r3.3.1_0">r-optparse</requirement> - <requirement type="package" version="0.6_28=r3.3.1_0">r-latticeextra</requirement> - <requirement type="package" version="2.2.1=r3.3.1_0">r-gridextra</requirement> + <requirement type="package" version="1.3.2=r3.3.2_0">r-optparse</requirement> + <requirement type="package" version="0.6_28=r3.3.2_0">r-latticeextra</requirement> + <requirement type="package" version="2.2.1=r3.3.2_0">r-gridextra</requirement> </requirements> <stdio> <exit_code range="1:" level="fatal" description="Tool exception" /> @@ -23,27 +23,65 @@ #for $sample in $inputs '$sample.name' #end for - --plot_methods Counts '$extra_plot' + #if str($plots_options.plots_options_selector ) == "two_plot": + --plot_methods '${plots_options.first_plot}' '${plots_options.extra_plot}' --outputs '$output_tab' '$extra_output_tab' && + #else: + --plot_methods '${plots_options.first_plot}' + --outputs '$output_tab' && + #end if Rscript '$__tool_directory__'/small_rna_maps.r --first_dataframe '$output_tab' --extra_dataframe '$extra_output_tab' - --extra_plot_method '$extra_plot' + #if str($plots_options.plots_options_selector ) == "two_plot": + --first_plot_method '${plots_options.first_plot}' + --extra_plot_method '${plots_options.extra_plot}' + #else: + --first_plot_method '${plots_options.first_plot}' + --extra_plot_method '' + #end if --output_pdf '$output_pdf' ]]></command> <inputs> - <param name="inputs" type="data" format="bam" label="Select multiple alignments to parse" multiple="True"/> - <param name="extra_plot" type="select" label="select the type of extra plot in addition to read map"> - <option value="Coverage">Coverage</option> - <option value="Mean">Mean Sizes</option> - <option value="Median">Median Sizes</option> - <option value="Size">Size Distributions</option> - </param> + <param name="inputs" type="data" format="bam" label="Select multiple alignments to parse" multiple="True"/> + <conditional name="plots_options"> + <param name="plots_options_selector" type="select" label="Number of plots per chromosome"> + <option value="one_plot">Just one plot per chromosome</option> + <option value="two_plot" selected="True">Two plots per chromosome</option> + </param> + <when value="two_plot"> + <param name="first_plot" type="select" label="select the type of the first plot"> + <option value="Counts">Counts</option> + <option value="Coverage">Coverage</option> + <option value="Mean">Mean Sizes</option> + <option value="Median">Median Sizes</option> + <option value="Size">Size Distributions</option> + </param> + <param name="extra_plot" type="select" label="select the type of the second plot"> + <option value="Counts">Counts</option> + <option value="Coverage">Coverage</option> + <option value="Mean">Mean Sizes</option> + <option value="Median">Median Sizes</option> + <option value="Size">Size Distributions</option> + </param> + </when> + <when value="one_plot"> + <param name="first_plot" type="select" label="select the type of the first plot"> + <option value="Counts">Counts</option> + <option value="Coverage">Coverage</option> + <option value="Mean">Mean Sizes</option> + <option value="Median">Median Sizes</option> + <option value="Size">Size Distributions</option> + </param> + </when> + </conditional> </inputs> <outputs> <data format="tabular" name="output_tab" label="Read Count dataframe" /> - <data format="tabular" name="extra_output_tab" label="$extra_plot dataframe" /> + <data format="tabular" name="extra_output_tab" label="$plots_options.extra_plot dataframe"> + <filter>plots_options['plots_options_selector'] == 'two_plot'</filter> + </data> <data format="pdf" name="output_pdf" label="PDF file" /> </outputs> @@ -51,38 +89,78 @@ <tests> <test> <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Counts" /> <param name="extra_plot" value="Mean" /> - <output file="readmap.tab" name="output_tab" /> + <output file="count.tab" name="output_tab" /> <output file="mean.tab" name="extra_output_tab" /> - <output file="mean.pdf" name="output_pdf" /> + <output file="count-mean.pdf" name="output_pdf" /> </test> <test> <param name="inputs" value="input1.bam,input1.bam" ftype="bam"/> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Counts" /> <param name="extra_plot" value="Mean" /> - <output file="doubled_readmap.tab" name="output_tab" /> - <output file="double_mean.tab" name="extra_output_tab" /> - <output file="doubled_mean.pdf" name="output_pdf" /> + <output file="doubled_count.tab" name="output_tab" /> + <output file="doubled_mean.tab" name="extra_output_tab" /> + <output file="doubled_count-mean.pdf" name="output_pdf" /> + </test> + <test> + <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Counts" /> + <param name="extra_plot" value="Median" /> + <output file="count.tab" name="output_tab" /> + <output file="median.tab" name="extra_output_tab" /> + <output file="count-median.pdf" name="output_pdf" /> + </test> + <test> + <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Counts" /> + <param name="extra_plot" value="Coverage" /> + <output file="count.tab" name="output_tab" /> + <output file="coverage.tab" name="extra_output_tab" /> + <output file="count-coverage.pdf" name="output_pdf" /> </test> <test> <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> - <param name="extra_plot" value="Median" /> - <output file="readmap.tab" name="output_tab" /> - <output file="median.tab" name="extra_output_tab" /> - <output file="median.pdf" name="output_pdf" /> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Counts" /> + <param name="extra_plot" value="Size" /> + <output file="count.tab" name="output_tab" /> + <output file="size.tab" name="extra_output_tab" /> + <output file="count-size.pdf" name="output_pdf" /> + </test> + <test> + <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Size" /> + <param name="extra_plot" value="Counts" /> + <output file="size.tab" name="output_tab" /> + <output file="count.tab" name="extra_output_tab" /> + <output file="size-count.pdf" name="output_pdf" /> </test> <test> <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> - <param name="extra_plot" value="Coverage" /> - <output file="readmap.tab" name="output_tab" /> - <output file="coverage.tab" name="extra_output_tab" /> - <output file="coverage.pdf" name="output_pdf" /> + <param name="plots_options_selector" value="one_plot" /> + <param name="first_plot" value="Counts" /> + <output file="count.tab" name="output_tab" /> + <output file="count.pdf" name="output_pdf" /> </test> <test> <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> - <param name="extra_plot" value="Size" /> - <output file="readmap.tab" name="output_tab" /> - <output file="size.tab" name="extra_output_tab" /> - <output file="sizes.pdf" name="output_pdf" /> + <param name="plots_options_selector" value="one_plot" /> + <param name="first_plot" value="Size" /> + <output file="size.tab" name="output_tab" /> + <output file="size.pdf" name="output_pdf" /> + </test> + <test> + <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> + <param name="plots_options_selector" value="one_plot" /> + <param name="first_plot" value="Coverage" /> + <output file="coverage.tab" name="output_tab" /> + <output file="coverage.pdf" name="output_pdf" /> </test> </tests>
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/count.tab Sun Oct 08 17:56:13 2017 -0400 @@ -0,0 +1,617 @@ +Dataset Chromosome Chrom_length Coordinate Polarity Counts +input1.bam FBtr0070001 72 1 F 1 +input1.bam FBtr0070001 72 7 F 6 +input1.bam FBtr0070001 72 8 F 3 +input1.bam FBtr0070001 72 11 F 2 +input1.bam FBtr0070001 72 16 F 1 +input1.bam FBtr0070001 72 17 F 1 +input1.bam FBtr0070001 72 18 F 1 +input1.bam FBtr0070001 72 27 F 2 +input1.bam FBtr0070001 72 30 F 1 +input1.bam FBtr0070001 72 31 F 11 +input1.bam FBtr0070001 72 32 F 27 +input1.bam FBtr0070001 72 34 F 1 +input1.bam FBtr0070001 72 72 F 0 +input1.bam FBtr0070533 72 1 F 1 +input1.bam FBtr0070533 72 12 F 2 +input1.bam FBtr0070533 72 15 F 1 +input1.bam FBtr0070533 72 19 F 5 +input1.bam FBtr0070533 72 20 F 1 +input1.bam FBtr0070533 72 21 F 1 +input1.bam FBtr0070533 72 22 F 1 +input1.bam FBtr0070533 72 25 F 1 +input1.bam FBtr0070533 72 26 F 1 +input1.bam FBtr0070533 72 28 F 1 +input1.bam FBtr0070533 72 32 F 4 +input1.bam FBtr0070533 72 35 F 1 +input1.bam FBtr0070533 72 37 F 2 +input1.bam FBtr0070533 72 38 F 2 +input1.bam FBtr0070533 72 72 F 0 +input1.bam FBtr0070603 72 1 F 2 +input1.bam FBtr0070603 72 3 F 1 +input1.bam FBtr0070603 72 4 F 1 +input1.bam FBtr0070603 72 6 F 1 +input1.bam FBtr0070603 72 7 F 7 +input1.bam FBtr0070603 72 8 F 4 +input1.bam FBtr0070603 72 9 F 7 +input1.bam FBtr0070603 72 12 F 2 +input1.bam FBtr0070603 72 13 F 1 +input1.bam FBtr0070603 72 15 F 2 +input1.bam FBtr0070603 72 16 F 2 +input1.bam FBtr0070603 72 17 F 3 +input1.bam FBtr0070603 72 18 F 1 +input1.bam FBtr0070603 72 19 F 9 +input1.bam FBtr0070603 72 20 F 3 +input1.bam FBtr0070603 72 21 F 1 +input1.bam FBtr0070603 72 22 F 3 +input1.bam FBtr0070603 72 24 F 2 +input1.bam FBtr0070603 72 25 F 1 +input1.bam FBtr0070603 72 26 F 6 +input1.bam FBtr0070603 72 27 F 3 +input1.bam FBtr0070603 72 32 F 1 +input1.bam FBtr0070603 72 34 F 3 +input1.bam FBtr0070603 72 38 F 1 +input1.bam FBtr0070603 72 42 F 1 +input1.bam FBtr0070603 72 51 F 1 +input1.bam FBtr0070603 72 56 F 1 +input1.bam FBtr0070603 72 72 F 0 +input1.bam FBtr0070604 72 1 F 1 +input1.bam FBtr0070604 72 18 F 1 +input1.bam FBtr0070604 72 22 F 1 +input1.bam FBtr0070604 72 30 F 2 +input1.bam FBtr0070604 72 31 F 10 +input1.bam FBtr0070604 72 32 F 24 +input1.bam FBtr0070604 72 57 F 1 +input1.bam FBtr0070604 72 72 F 0 +input1.bam FBtr0070911 73 1 F 0 +input1.bam FBtr0070911 73 15 F 1 +input1.bam FBtr0070911 73 38 F 1 +input1.bam FBtr0070911 73 73 F 0 +input1.bam FBtr0078490 72 1 F 0 +input1.bam FBtr0078490 72 13 F 2 +input1.bam FBtr0078490 72 17 F 1 +input1.bam FBtr0078490 72 18 F 1 +input1.bam FBtr0078490 72 25 F 1 +input1.bam FBtr0078490 72 28 F 2 +input1.bam FBtr0078490 72 38 F 1 +input1.bam FBtr0078490 72 72 F 0 +input1.bam FBtr0078580 72 1 F 1041 +input1.bam FBtr0078580 72 3 F 3 +input1.bam FBtr0078580 72 4 F 4 +input1.bam FBtr0078580 72 5 F 5 +input1.bam FBtr0078580 72 6 F 4 +input1.bam FBtr0078580 72 7 F 1 +input1.bam FBtr0078580 72 8 F 2 +input1.bam FBtr0078580 72 11 F 1 +input1.bam FBtr0078580 72 12 F 13 +input1.bam FBtr0078580 72 14 F 7 +input1.bam FBtr0078580 72 15 F 1 +input1.bam FBtr0078580 72 16 F 4 +input1.bam FBtr0078580 72 17 F 1 +input1.bam FBtr0078580 72 19 F 1 +input1.bam FBtr0078580 72 20 F 2 +input1.bam FBtr0078580 72 21 F 5 +input1.bam FBtr0078580 72 24 F 3 +input1.bam FBtr0078580 72 25 F 2 +input1.bam FBtr0078580 72 29 F 1 +input1.bam FBtr0078580 72 31 F 1 +input1.bam FBtr0078580 72 52 F 2 +input1.bam FBtr0078580 72 72 F 0 +input1.bam FBtr0078790 73 1 F 1 +input1.bam FBtr0078790 73 17 F 2 +input1.bam FBtr0078790 73 33 F 1 +input1.bam FBtr0078790 73 42 F 4 +input1.bam FBtr0078790 73 44 F 2 +input1.bam FBtr0078790 73 46 F 1 +input1.bam FBtr0078790 73 47 F 1 +input1.bam FBtr0078790 73 52 F 1 +input1.bam FBtr0078790 73 69 R 1 +input1.bam FBtr0078790 73 73 F 0 +input1.bam FBtr0079064 72 1 F 1 +input1.bam FBtr0079064 72 3 F 1 +input1.bam FBtr0079064 72 33 F 1 +input1.bam FBtr0079064 72 52 F 1 +input1.bam FBtr0079064 72 72 F 0 +input1.bam FBtr0079090 72 1 F 2 +input1.bam FBtr0079090 72 26 F 1 +input1.bam FBtr0079090 72 33 F 1 +input1.bam FBtr0079090 72 53 F 1 +input1.bam FBtr0079090 72 56 R 1 +input1.bam FBtr0079090 72 72 F 0 +input1.bam FBtr0079338 73 1 F 0 +input1.bam FBtr0079338 73 12 F 1 +input1.bam FBtr0079338 73 13 F 2 +input1.bam FBtr0079338 73 14 F 1 +input1.bam FBtr0079338 73 17 F 1 +input1.bam FBtr0079338 73 25 F 1 +input1.bam FBtr0079338 73 42 F 8 +input1.bam FBtr0079338 73 43 F 1 +input1.bam FBtr0079338 73 46 F 1 +input1.bam FBtr0079338 73 73 F 0 +input1.bam FBtr0079528 71 1 F 19 +input1.bam FBtr0079528 71 3 F 55 +input1.bam FBtr0079528 71 4 F 2 +input1.bam FBtr0079528 71 8 F 4 +input1.bam FBtr0079528 71 10 F 1 +input1.bam FBtr0079528 71 11 F 2 +input1.bam FBtr0079528 71 13 F 1 +input1.bam FBtr0079528 71 14 F 4 +input1.bam FBtr0079528 71 16 F 1 +input1.bam FBtr0079528 71 17 F 4 +input1.bam FBtr0079528 71 18 F 4 +input1.bam FBtr0079528 71 28 F 1 +input1.bam FBtr0079528 71 35 F 1 +input1.bam FBtr0079528 71 36 F 1 +input1.bam FBtr0079528 71 37 F 1 +input1.bam FBtr0079528 71 51 F 5 +input1.bam FBtr0079528 71 71 F 0 +input1.bam FBtr0079596 73 1 F 13 +input1.bam FBtr0079596 73 3 F 13 +input1.bam FBtr0079596 73 4 F 31 +input1.bam FBtr0079596 73 5 F 2 +input1.bam FBtr0079596 73 6 F 11 +input1.bam FBtr0079596 73 8 F 9 +input1.bam FBtr0079596 73 9 F 12 +input1.bam FBtr0079596 73 10 F 3 +input1.bam FBtr0079596 73 11 F 19 +input1.bam FBtr0079596 73 12 F 1 +input1.bam FBtr0079596 73 13 F 20 +input1.bam FBtr0079596 73 14 F 6 +input1.bam FBtr0079596 73 15 F 1 +input1.bam FBtr0079596 73 16 F 3 +input1.bam FBtr0079596 73 17 F 2 +input1.bam FBtr0079596 73 18 F 1 +input1.bam FBtr0079596 73 19 F 1 +input1.bam FBtr0079596 73 53 F 2 +input1.bam FBtr0079596 73 54 F 2 +input1.bam FBtr0079596 73 73 F 0 +input1.bam FBtr0079677 72 1 F 1 +input1.bam FBtr0079677 72 5 F 1 +input1.bam FBtr0079677 72 52 F 1 +input1.bam FBtr0079677 72 53 F 1 +input1.bam FBtr0079677 72 72 F 0 +input1.bam FBtr0079690 72 1 F 1 +input1.bam FBtr0079690 72 22 F 1 +input1.bam FBtr0079690 72 27 F 1 +input1.bam FBtr0079690 72 33 F 2 +input1.bam FBtr0079690 72 72 F 0 +input1.bam FBtr0079692 73 1 F 3 +input1.bam FBtr0079692 73 18 F 1 +input1.bam FBtr0079692 73 25 F 1 +input1.bam FBtr0079692 73 32 F 1 +input1.bam FBtr0079692 73 73 F 0 +input1.bam FBtr0079693 72 1 F 5 +input1.bam FBtr0079693 72 25 F 1 +input1.bam FBtr0079693 72 72 F 0 +input1.bam FBtr0079694 72 1 F 5 +input1.bam FBtr0079694 72 18 F 1 +input1.bam FBtr0079694 72 52 F 1 +input1.bam FBtr0079694 72 72 F 0 +input1.bam FBtr0079702 72 1 F 1 +input1.bam FBtr0079702 72 19 F 2 +input1.bam FBtr0079702 72 56 F 1 +input1.bam FBtr0079702 72 72 F 0 +input1.bam FBtr0079728 72 1 F 2 +input1.bam FBtr0079728 72 8 F 1 +input1.bam FBtr0079728 72 19 F 1 +input1.bam FBtr0079728 72 33 F 3 +input1.bam FBtr0079728 72 56 F 1 +input1.bam FBtr0079728 72 72 F 0 +input1.bam FBtr0079729 72 1 F 1 +input1.bam FBtr0079729 72 13 F 1 +input1.bam FBtr0079729 72 52 F 1 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