Mercurial > repos > artbio > small_rna_maps
changeset 11:a561a71bd7d7 draft
planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/small_rna_maps commit c24bbb6d53574eb1c1eb8d219cf2a39a9ed5b3ff
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--- a/small_rna_maps.r Tue Nov 07 17:38:39 2017 -0500 +++ b/small_rna_maps.r Tue Mar 06 06:11:55 2018 -0500 @@ -43,7 +43,7 @@ i = i + 1 } } -genes=unique(levels(Table$Chromosome)) +genes=unique(Table$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)$Chrom_length)) ) n_genes=length(per_gene_readmap) @@ -147,62 +147,6 @@ combineLimits(p) } -plot_single <- function(df, method=args$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$first_plot_method]], - par.strip.text = list(cex=0.7), - nrow = 8, - as.table=TRUE, - ...) - p = update(useOuterStrips(p, strip.left=strip.custom(par.strip.text = list(cex=0.5))), layout=c(n_samples, rows_per_page)) - p = combineLimits(p, extend=TRUE) - return (p) - } -} - ## function parameters #par.settings.firstplot = list(layout.heights=list(top.padding=11, bottom.padding = -14)) @@ -220,20 +164,22 @@ ## Plotting Functions double_plot <- function(...) { - if (n_genes > 5) {page_height=15; rows_per_page=10} else { - rows_per_page= 2 * n_genes; page_height=1.5*n_genes} - if (n_samples > 4) {page_width = 8.2677*n_samples/4} else {page_width = 7 * n_samples/2} + page_height = 15 + rows_per_page = 10 + graph_heights=c(40,30,40,30,40,30,40,30,40,30,10) + if (n_samples > 4) {page_width = 8.2677*n_samples/4} else {page_width = 2.3*n_samples +2.5} pdf(file=args$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} + if (end-start+1 < 5) {graph_heights=c(rep(c(40,30),end-start+1),10,rep(c(40,30),5-(end-start+1)))} 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$extra_plot_method, par.settings=par.settings.secondplot)) plot.list=rbind(second_plot.list, first_plot.list) - args_list=c(plot.list, list( nrow=rows_per_page+1, ncol=1, heights=unit(c(40,30,40,30,40,30,40,30,40,30,10), rep("mm", 11)), + args_list=c(plot.list, list( nrow=rows_per_page+1, ncol=1, heights=unit(graph_heights, rep("mm", 11)), top=textGrob(paste(title_first_method[[args$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$extra_plot_method]]), gp=gpar(cex=1), vjust=2, rot=90), + left=textGrob(paste(legend_first_method[[args$first_plot_method]], "/", legend_extra_method[[args$extra_plot_method]]), gp=gpar(cex=1), just=0.675*(end-start-(2.2*(4/2.7))),vjust=2, rot=90), sub=textGrob(paste(bottom_first_method[[args$first_plot_method]], "/", bottom_extra_method[[args$extra_plot_method]]), gp=gpar(cex=1), just="bottom", vjust=2) ) ) @@ -246,14 +192,22 @@ single_plot <- function(...) { width = 8.2677 * n_samples / 2 rows_per_page=8 - pdf(file=args$output_pdf, paper="special", height=11.69, width=width) + graph_heights=c(rep(40,8),10) + pdf(file=args$output_pdf, paper="special", height=15, width=width) for (i in seq(1,n_genes,rows_per_page)) { start=i end=i+rows_per_page-1 if (end>n_genes) {end=n_genes} - bunch = do.call(rbind, per_gene_readmap[start:end]) # sub dataframe from the list - p = plot_single(bunch, method=args$first_plot_method, par.settings=par.settings.single_plot, rows_per_page=rows_per_page) - plot(p) + if (end-start+1 < 8) {graph_heights=c(rep(c(40),end-start+1),10,rep(c(40),8-(end-start+1)))} + first_plot.list = lapply(per_gene_readmap[start:end], function(x) plot_unit(x, par.settings=par.settings.firstplot)) + plot.list=rbind(first_plot.list) + args_list=c(plot.list, list( nrow=rows_per_page+1, ncol=1, heights=unit(graph_heights, rep("mm", 9)), + top=textGrob(title_first_method[[args$first_plot_method]], gp=gpar(cex=1), vjust=0, just="top"), + left=textGrob(legend_first_method[[args$first_plot_method]], gp=gpar(cex=1), just=(6.4/7)*(end-start-(6.2*(7/6.4))),vjust=2, rot=90), + sub=textGrob(bottom_first_method[[args$first_plot_method]], gp=gpar(cex=1), just="bottom", vjust=2) + ) + ) + do.call(grid.arrange, args_list) } devname=dev.off() }
--- a/small_rna_maps.xml Tue Nov 07 17:38:39 2017 -0500 +++ b/small_rna_maps.xml Tue Mar 06 06:11:55 2018 -0500 @@ -1,4 +1,4 @@ -<tool id="small_rna_maps" name="small_rna_maps" version="2.4.1"> +<tool id="small_rna_maps" name="small_rna_maps" version="2.4.3"> <description></description> <requirements> <requirement type="package" version="1.11.2=py27_0">numpy</requirement> @@ -267,6 +267,43 @@ <output file="size-count_normed.pdf" name="output_pdf" /> </test> <test> + <param name="inputs" value="input_single_chr.bam" ftype="bam"/> + <param name="minsize" value="0" /> + <param name="maxsize" value="10000" /> + <param name="cluster" value="0" /> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Counts" /> + <param name="extra_plot" value="Coverage" /> + <param name="normalization" value="1 1" /> + <output file="count_1_chr.tab" name="output_tab" /> + <output file="coverage_1_chr.tab" name="extra_output_tab" /> + <output file="counts_coverage_1.pdf" name="output_pdf" /> + </test> + <test> + <param name="inputs" value="input_5_chr.bam" ftype="bam"/> + <param name="minsize" value="0" /> + <param name="maxsize" value="10000" /> + <param name="cluster" value="0" /> + <param name="plots_options_selector" value="two_plot" /> + <param name="first_plot" value="Counts" /> + <param name="extra_plot" value="Coverage" /> + <param name="normalization" value="1 1" /> + <output file="count_5_chr.tab" name="output_tab" /> + <output file="coverage_5_chr.tab" name="extra_output_tab" /> + <output file="counts_coverage_5.pdf" name="output_pdf" /> + </test> + <test> + <param name="inputs" value="input_single_chr.bam" ftype="bam"/> + <param name="minsize" value="0" /> + <param name="maxsize" value="10000" /> + <param name="cluster" value="0" /> + <param name="plots_options_selector" value="one_plot" /> + <param name="first_plot" value="Counts" /> + <param name="normalization" value="1 1" /> + <output file="count_1_chr.tab" name="output_tab" /> + <output file="count_1.pdf" name="output_pdf" /> + </test> + <test> <param name="inputs" value="input1.bam,input2.bam" ftype="bam"/> <param name="minsize" value="0" /> <param name="cluster" value="0" />
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/count_1_chr.tab Tue Mar 06 06:11:55 2018 -0500 @@ -0,0 +1,3 @@ +Dataset Chromosome Chrom_length Coordinate Polarity Counts +input_single_chr.bam 1 80 1 F 1 +input_single_chr.bam 1 80 80 F 0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/count_5_chr.tab Tue Mar 06 06:11:55 2018 -0500 @@ -0,0 +1,11 @@ +Dataset Chromosome Chrom_length Coordinate Polarity Counts +input_5_chr.bam 1 80 1 F 1 +input_5_chr.bam 1 80 80 F 0 +input_5_chr.bam 2 80 1 F 1 +input_5_chr.bam 2 80 80 F 0 +input_5_chr.bam 3 80 1 F 1 +input_5_chr.bam 3 80 80 F 0 +input_5_chr.bam 4 80 1 F 1 +input_5_chr.bam 4 80 80 F 0 +input_5_chr.bam 5 80 1 F 1 +input_5_chr.bam 5 80 80 F 0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/count_single_chr.tab Tue Mar 06 06:11:55 2018 -0500 @@ -0,0 +1,4 @@ +Dataset Chromosome Chrom_length Coordinate Polarity Counts +input_single_chr.bam Anopheles_C_Virus|KU169878 8919 1 F 0 +input_single_chr.bam Anopheles_C_Virus|KU169878 8919 749 R 1 +input_single_chr.bam Anopheles_C_Virus|KU169878 8919 8919 F 0
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/coverage_1_chr.tab Tue Mar 06 06:11:55 2018 -0500 @@ -0,0 +1,81 @@ +Dataset Chromosome Chrom_length Coordinate Polarity Coverage +input_single_chr.bam 1 80 1 F 1 +input_single_chr.bam 1 80 2 F 1 +input_single_chr.bam 1 80 3 F 1 +input_single_chr.bam 1 80 4 F 1 +input_single_chr.bam 1 80 5 F 1 +input_single_chr.bam 1 80 6 F 1 +input_single_chr.bam 1 80 7 F 1 +input_single_chr.bam 1 80 8 F 1 +input_single_chr.bam 1 80 9 F 1 +input_single_chr.bam 1 80 10 F 1 +input_single_chr.bam 1 80 11 F 1 +input_single_chr.bam 1 80 12 F 1 +input_single_chr.bam 1 80 13 F 1 +input_single_chr.bam 1 80 14 F 1 +input_single_chr.bam 1 80 15 F 1 +input_single_chr.bam 1 80 16 F 1 +input_single_chr.bam 1 80 17 F 1 +input_single_chr.bam 1 80 18 F 1 +input_single_chr.bam 1 80 19 F 1 +input_single_chr.bam 1 80 20 F 1 +input_single_chr.bam 1 80 21 F 1 +input_single_chr.bam 1 80 22 F 1 +input_single_chr.bam 1 80 23 F 1 +input_single_chr.bam 1 80 24 F 1 +input_single_chr.bam 1 80 25 F 1 +input_single_chr.bam 1 80 26 F 1 +input_single_chr.bam 1 80 27 F 1 +input_single_chr.bam 1 80 28 F 1 +input_single_chr.bam 1 80 29 F 1 +input_single_chr.bam 1 80 30 F 1 +input_single_chr.bam 1 80 31 F 1 +input_single_chr.bam 1 80 32 F 1 +input_single_chr.bam 1 80 33 F 1 +input_single_chr.bam 1 80 34 F 1 +input_single_chr.bam 1 80 35 F 1 +input_single_chr.bam 1 80 36 F 1 +input_single_chr.bam 1 80 37 F 1 +input_single_chr.bam 1 80 38 F 1 +input_single_chr.bam 1 80 39 F 1 +input_single_chr.bam 1 80 40 F 1 +input_single_chr.bam 1 80 41 F 1 +input_single_chr.bam 1 80 42 F 1 +input_single_chr.bam 1 80 43 F 1 +input_single_chr.bam 1 80 44 F 1 +input_single_chr.bam 1 80 45 F 1 +input_single_chr.bam 1 80 46 F 1 +input_single_chr.bam 1 80 47 F 1 +input_single_chr.bam 1 80 48 F 1 +input_single_chr.bam 1 80 49 F 1 +input_single_chr.bam 1 80 50 F 1 +input_single_chr.bam 1 80 51 F 1 +input_single_chr.bam 1 80 52 F 1 +input_single_chr.bam 1 80 53 F 1 +input_single_chr.bam 1 80 54 F 1 +input_single_chr.bam 1 80 55 F 1 +input_single_chr.bam 1 80 56 F 1 +input_single_chr.bam 1 80 57 F 1 +input_single_chr.bam 1 80 58 F 1 +input_single_chr.bam 1 80 59 F 1 +input_single_chr.bam 1 80 60 F 1 +input_single_chr.bam 1 80 61 F 1 +input_single_chr.bam 1 80 62 F 1 +input_single_chr.bam 1 80 63 F 1 +input_single_chr.bam 1 80 64 F 1 +input_single_chr.bam 1 80 65 F 1 +input_single_chr.bam 1 80 66 F 1 +input_single_chr.bam 1 80 67 F 1 +input_single_chr.bam 1 80 68 F 1 +input_single_chr.bam 1 80 69 F 1 +input_single_chr.bam 1 80 70 F 1 +input_single_chr.bam 1 80 71 F 1 +input_single_chr.bam 1 80 72 F 1 +input_single_chr.bam 1 80 73 F 1 +input_single_chr.bam 1 80 74 F 1 +input_single_chr.bam 1 80 75 F 1 +input_single_chr.bam 1 80 76 F 1 +input_single_chr.bam 1 80 77 F 1 +input_single_chr.bam 1 80 78 F 1 +input_single_chr.bam 1 80 79 F 1 +input_single_chr.bam 1 80 80 F 1
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/coverage_5_chr.tab Tue Mar 06 06:11:55 2018 -0500 @@ -0,0 +1,401 @@ +Dataset Chromosome Chrom_length Coordinate Polarity Coverage +input_5_chr.bam 1 80 1 F 1 +input_5_chr.bam 1 80 2 F 1 +input_5_chr.bam 1 80 3 F 1 +input_5_chr.bam 1 80 4 F 1 +input_5_chr.bam 1 80 5 F 1 +input_5_chr.bam 1 80 6 F 1 +input_5_chr.bam 1 80 7 F 1 +input_5_chr.bam 1 80 8 F 1 +input_5_chr.bam 1 80 9 F 1 +input_5_chr.bam 1 80 10 F 1 +input_5_chr.bam 1 80 11 F 1 +input_5_chr.bam 1 80 12 F 1 +input_5_chr.bam 1 80 13 F 1 +input_5_chr.bam 1 80 14 F 1 +input_5_chr.bam 1 80 15 F 1 +input_5_chr.bam 1 80 16 F 1 +input_5_chr.bam 1 80 17 F 1 +input_5_chr.bam 1 80 18 F 1 +input_5_chr.bam 1 80 19 F 1 +input_5_chr.bam 1 80 20 F 1 +input_5_chr.bam 1 80 21 F 1 +input_5_chr.bam 1 80 22 F 1 +input_5_chr.bam 1 80 23 F 1 +input_5_chr.bam 1 80 24 F 1 +input_5_chr.bam 1 80 25 F 1 +input_5_chr.bam 1 80 26 F 1 +input_5_chr.bam 1 80 27 F 1 +input_5_chr.bam 1 80 28 F 1 +input_5_chr.bam 1 80 29 F 1 +input_5_chr.bam 1 80 30 F 1 +input_5_chr.bam 1 80 31 F 1 +input_5_chr.bam 1 80 32 F 1 +input_5_chr.bam 1 80 33 F 1 +input_5_chr.bam 1 80 34 F 1 +input_5_chr.bam 1 80 35 F 1 +input_5_chr.bam 1 80 36 F 1 +input_5_chr.bam 1 80 37 F 1 +input_5_chr.bam 1 80 38 F 1 +input_5_chr.bam 1 80 39 F 1 +input_5_chr.bam 1 80 40 F 1 +input_5_chr.bam 1 80 41 F 1 +input_5_chr.bam 1 80 42 F 1 +input_5_chr.bam 1 80 43 F 1 +input_5_chr.bam 1 80 44 F 1 +input_5_chr.bam 1 80 45 F 1 +input_5_chr.bam 1 80 46 F 1 +input_5_chr.bam 1 80 47 F 1 +input_5_chr.bam 1 80 48 F 1 +input_5_chr.bam 1 80 49 F 1 +input_5_chr.bam 1 80 50 F 1 +input_5_chr.bam 1 80 51 F 1 +input_5_chr.bam 1 80 52 F 1 +input_5_chr.bam 1 80 53 F 1 +input_5_chr.bam 1 80 54 F 1 +input_5_chr.bam 1 80 55 F 1 +input_5_chr.bam 1 80 56 F 1 +input_5_chr.bam 1 80 57 F 1 +input_5_chr.bam 1 80 58 F 1 +input_5_chr.bam 1 80 59 F 1 +input_5_chr.bam 1 80 60 F 1 +input_5_chr.bam 1 80 61 F 1 +input_5_chr.bam 1 80 62 F 1 +input_5_chr.bam 1 80 63 F 1 +input_5_chr.bam 1 80 64 F 1 +input_5_chr.bam 1 80 65 F 1 +input_5_chr.bam 1 80 66 F 1 +input_5_chr.bam 1 80 67 F 1 +input_5_chr.bam 1 80 68 F 1 +input_5_chr.bam 1 80 69 F 1 +input_5_chr.bam 1 80 70 F 1 +input_5_chr.bam 1 80 71 F 1 +input_5_chr.bam 1 80 72 F 1 +input_5_chr.bam 1 80 73 F 1 +input_5_chr.bam 1 80 74 F 1 +input_5_chr.bam 1 80 75 F 1 +input_5_chr.bam 1 80 76 F 1 +input_5_chr.bam 1 80 77 F 1 +input_5_chr.bam 1 80 78 F 1 +input_5_chr.bam 1 80 79 F 1 +input_5_chr.bam 1 80 80 F 1 +input_5_chr.bam 2 80 1 F 1 +input_5_chr.bam 2 80 2 F 1 +input_5_chr.bam 2 80 3 F 1 +input_5_chr.bam 2 80 4 F 1 +input_5_chr.bam 2 80 5 F 1 +input_5_chr.bam 2 80 6 F 1 +input_5_chr.bam 2 80 7 F 1 +input_5_chr.bam 2 80 8 F 1 +input_5_chr.bam 2 80 9 F 1 +input_5_chr.bam 2 80 10 F 1 +input_5_chr.bam 2 80 11 F 1 +input_5_chr.bam 2 80 12 F 1 +input_5_chr.bam 2 80 13 F 1 +input_5_chr.bam 2 80 14 F 1 +input_5_chr.bam 2 80 15 F 1 +input_5_chr.bam 2 80 16 F 1 +input_5_chr.bam 2 80 17 F 1 +input_5_chr.bam 2 80 18 F 1 +input_5_chr.bam 2 80 19 F 1 +input_5_chr.bam 2 80 20 F 1 +input_5_chr.bam 2 80 21 F 1 +input_5_chr.bam 2 80 22 F 1 +input_5_chr.bam 2 80 23 F 1 +input_5_chr.bam 2 80 24 F 1 +input_5_chr.bam 2 80 25 F 1 +input_5_chr.bam 2 80 26 F 1 +input_5_chr.bam 2 80 27 F 1 +input_5_chr.bam 2 80 28 F 1 +input_5_chr.bam 2 80 29 F 1 +input_5_chr.bam 2 80 30 F 1 +input_5_chr.bam 2 80 31 F 1 +input_5_chr.bam 2 80 32 F 1 +input_5_chr.bam 2 80 33 F 1 +input_5_chr.bam 2 80 34 F 1 +input_5_chr.bam 2 80 35 F 1 +input_5_chr.bam 2 80 36 F 1 +input_5_chr.bam 2 80 37 F 1 +input_5_chr.bam 2 80 38 F 1 +input_5_chr.bam 2 80 39 F 1 +input_5_chr.bam 2 80 40 F 1 +input_5_chr.bam 2 80 41 F 1 +input_5_chr.bam 2 80 42 F 1 +input_5_chr.bam 2 80 43 F 1 +input_5_chr.bam 2 80 44 F 1 +input_5_chr.bam 2 80 45 F 1 +input_5_chr.bam 2 80 46 F 1 +input_5_chr.bam 2 80 47 F 1 +input_5_chr.bam 2 80 48 F 1 +input_5_chr.bam 2 80 49 F 1 +input_5_chr.bam 2 80 50 F 1 +input_5_chr.bam 2 80 51 F 1 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