# HG changeset patch # User proteore # Date 1551706669 18000 # Node ID fa2e27165d5d329269a9a0619a0e73b46c951eb7 # Parent e3430084c996d563dc9b6da8f16c752e2d024639 planemo upload commit 4efc56eb769fbceb66c64181441ff8781d523454-dirty diff -r e3430084c996 -r fa2e27165d5d topGO.xml --- a/topGO.xml Tue Dec 18 10:06:00 2018 -0500 +++ b/topGO.xml Mon Mar 04 08:37:49 2019 -0500 @@ -1,4 +1,4 @@ - + (Human, Mouse, Rat)[topGO] R @@ -69,7 +69,9 @@ - + + [c]{0,1}[0-9]+ + @@ -96,7 +98,9 @@ - + + [c]{0,1}[0-9]+ + @@ -141,16 +145,16 @@ - - textoutput + + + + + + 'dotplot' in plot - barplot - - - - dotplot + 'barplot' in plot diff -r e3430084c996 -r fa2e27165d5d topGO_enrichment.R --- a/topGO_enrichment.R Tue Dec 18 10:06:00 2018 -0500 +++ b/topGO_enrichment.R Mon Mar 04 08:37:49 2019 -0500 @@ -155,91 +155,47 @@ createDotPlot = function(data, onto){ - values = deleteInfChar(data$pvalues) - values = roundValues(values) - values = as.numeric(values) - - geneRatio = data$Significant/data$Annotated - goTerms = data$Term - count = data$Significant - - labely = paste("GO terms",onto,sep=" ") - ggplot(data,aes(x=geneRatio,y=goTerms, color=values,size=count)) +geom_point( ) + scale_colour_gradientn(colours=c("red","violet","blue")) + xlab("Gene Ratio") + ylab(labely) + labs(color="p-values\n" ) - ggsave("dotplot.png", device = "png", dpi = 320, limitsize = TRUE, width = 15, height = 15, units="cm") + values = deleteInfChar(data$pvalues) + values = roundValues(values) + values = as.numeric(values) + + geneRatio = data$Significant/data$Annotated + goTerms = data$Term + count = data$Significant + + labely = paste("GO terms",onto,sep=" ") + ggplot(data,aes(x=geneRatio,y=goTerms, color=values,size=count)) +geom_point( ) + scale_colour_gradientn(colours=c("red","violet","blue")) + xlab("Gene Ratio") + ylab(labely) + labs(color="p-values\n" ) + ggsave("dotplot.png", device = "png", dpi = 320, limitsize = TRUE, width = 15, height = 15, units="cm") } createBarPlot = function(data, onto){ - - values = deleteInfChar(data$pvalues) - values = roundValues(values) - values = as.numeric(values) - - goTerms = data$Term - count = data$Significant - - labely = paste("GO terms",onto,sep=" ") - ggplot(data, aes(x=goTerms, y=count,fill=values,scale(scale = 0.5))) + ylab("Gene count") + xlab(labely) +geom_bar(stat="identity") + scale_fill_gradientn(colours=c("red","violet","blue")) + coord_flip() + labs(fill="p-values\n") - ggsave("barplot.png", device = "png", dpi = 320, limitsize = TRUE, width = 15, height = 15, units="cm") + values = deleteInfChar(data$pvalues) + values = roundValues(values) + values = as.numeric(values) + + goTerms = data$Term + count = data$Significant + + labely = paste("GO terms",onto,sep=" ") + ggplot(data, aes(x=goTerms, y=count,fill=values,scale(scale = 0.5))) + ylab("Gene count") + xlab(labely) +geom_bar(stat="identity") + scale_fill_gradientn(colours=c("red","violet","blue")) + coord_flip() + labs(fill="p-values\n") + ggsave("barplot.png", device = "png", dpi = 320, limitsize = TRUE, width = 15, height = 15, units="cm") } # Produce the different outputs createOutputs = function(result, cut_result,text, barplot, dotplot, onto){ - + if (is.null(result)){ - if (text){ - err_msg = "None of the input ids can be found in the org package data, enrichment analysis cannot be realized. \n The inputs ids probably either have no associated GO terms or are not ENSG identifiers (e.g : ENSG00000012048)." - write.table(err_msg, file='result', quote=FALSE, sep='\t', col.names = T, row.names = F) - } - if (barplot){ - png(filename="barplot.png") - plot.new() - #text(0,0,err_msg) - dev.off() - } - if (dotplot){ - png(filename="dotplot.png") - plot.new() - #text(0,0,err_msg) - dev.off() - } - opt <- options(show.error.messages=FALSE) - on.exit(options(opt)) - stop("null result") - } + err_msg = "None of the input ids can be found in the org package data, enrichment analysis cannot be realized. \n The inputs ids probably either have no associated GO terms or are not ENSG identifiers (e.g : ENSG00000012048)." + write.table(err_msg, file='result', quote=FALSE, sep='\t', col.names = F, row.names = F) + }else if (is.null(cut_result)){ + err_msg = "Threshold was too stringent, no GO term found with pvalue equal or lesser than the threshold value." + write.table(err_msg, file='result.tsv', quote=FALSE, sep='\t', col.names = F, row.names = F) + }else { + write.table(cut_result, file='result.tsv', quote=FALSE, sep='\t', col.names = T, row.names = F) - if (is.null(cut_result)){ - if (text){ - err_msg = "Threshold was too stringent, no GO term found with pvalue equal or lesser than the threshold value." - write.table(err_msg, file='result', quote=FALSE, sep='\t', col.names = T, row.names = F) - } - if (barplot){ - png(filename="barplot.png") - plot.new() - text(0,0,err_msg) - dev.off() - } - if (dotplot){ - png(filename="dotplot.png") - plot.new() - text(0,0,err_msg) - dev.off() - } - opt <- options(show.error.messages=FALSE) - on.exit(options(opt)) - stop("null cut_result") - } - - if (text){ - write.table(cut_result, file='result', quote=FALSE, sep='\t', col.names = T, row.names = F) - } - - if (barplot){ - createBarPlot(cut_result, onto) - } - - if (dotplot){ - createDotPlot(cut_result, onto) + if (barplot){createBarPlot(cut_result, onto)} + if (dotplot){createDotPlot(cut_result, onto)} } } @@ -318,8 +274,7 @@ #check of ENS ids if (! any(check_ens_ids(sample))){ - print("no ensembl gene ids found in your ids list, please check your IDs in input or the selected column of your input file") - stop() + stop("no ensembl gene ids found in your ids list, please check your IDs in input or the selected column of your input file") } #get input if background genes @@ -332,8 +287,7 @@ } #check of ENS ids if (! any(check_ens_ids(background_sample))){ - print("no ensembl gene ids found in your background ids list, please check your IDs in input or the selected column of your input file") - stop() + stop("no ensembl gene ids found in your background ids list, please check your IDs in input or the selected column of your input file") } } else { background_sample=NULL