diff phyloseq_2_deseq2.r @ 0:1f0569e94be4 draft

"planemo upload for repository https://github.com/QFAB-Bioinformatics/metaDEGalaxy/tree/master/phyloseq_2_deseq2 commit 8bd68662b72404f6291e9628327dcb109b5fa55e"

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/phyloseq_2_deseq2.r	Mon Sep 14 08:20:41 2020 +0000
@@ -0,0 +1,86 @@
+library('getopt')
+suppressPackageStartupMessages(library('phyloseq'))
+suppressPackageStartupMessages(library('DESeq2'))
+
+options(warn= -1)
+
+option_specification = matrix(c(
+   'biomfile','b',2,'character',
+   'metafile','m',2,'character',
+     'factor','f',2,'numeric',
+       'test','t',2,'character',
+    'fitType','T',2,'character',
+     'cutoff','c','2','double',
+     'outdir','o',2,'character',
+   'result','r',2,'character',
+   'normalisedResult','n','2','character'
+),byrow=TRUE,ncol=4);
+
+
+options <- getopt(option_specification);
+options(bitmapType="cairo")
+ 
+
+if (!is.null(options$outdir)) {
+  # Create the directory
+  dir.create(options$outdir,FALSE)
+}
+
+
+galaxy_biom <- import_biom(options$biomfile)
+galaxy_map <- import_qiime_sample_data(options$metafile)
+tax_col_norm <- c("Kingdom","Phylum","Class","Order","Family","Genus","Species")
+tax_col_extra <- c("None","Kingdom","Phylum","Class","Order","Family","Genus","Species")
+
+number.of.tax.rank<-length(colnames(tax_table(galaxy_biom)))
+
+if( number.of.tax.rank == 7){
+colnames(tax_table(galaxy_biom)) <- tax_col_norm
+}else{
+colnames(tax_table(galaxy_biom)) <- tax_col_extra
+}
+
+
+AIP_galaxy <- merge_phyloseq(galaxy_biom,galaxy_map)
+
+
+Infactor<-colnames(galaxy_map)[options$factor]
+method<-options$test
+Type<-options$fitType
+cutoff<-options$cutoff
+
+
+
+suppressMessages(deseq2_obj<-phyloseq_to_deseq2(AIP_galaxy,as.formula(paste('~',Infactor,sep=""))))
+gm_mean = function(x, na.rm=TRUE){
+  exp(sum(log(x[x > 0]), na.rm=na.rm) / length(x))
+}
+geoMeans = apply(counts(deseq2_obj), 1, gm_mean)
+deseq2_obj = estimateSizeFactors(deseq2_obj, geoMeans = geoMeans)
+
+
+
+### Normalisation
+deseq2_obj_norm<-counts(deseq2_obj,normalized=T)
+deseq2_obj_norm.out<-as.data.frame(cbind("OTUID"=rownames(deseq2_obj_norm),deseq2_obj_norm))
+write.table(deseq2_obj_norm.out,file=options$normalisedResult,col.names=T,row.names=F,quote=F,sep="\t")
+
+
+### Normalisation and DE analysis
+suppressMessages(deseq2_obj_DE<-DESeq(deseq2_obj,test=method,fitType=Type))
+res = results(deseq2_obj_DE,cooksCutoff = FALSE)
+
+significant.table <-res[which(res$padj < cutoff),]
+
+if(nrow(significant.table) == 0){
+  out_message <-"no significant result found!"
+  write(out_message,file=options$result,sep="\t")
+  quit("yes")
+}
+
+significant.table <- cbind(as(significant.table,"data.frame"), as(tax_table(AIP_galaxy)[rownames(significant.table),],"matrix"))
+
+significant.table.out<-as.data.frame(cbind("OTUID"=rownames(significant.table),significant.table))
+
+write.table(format(significant.table.out, digits=4, scientific=F),file=options$result,col.names=T,row.names=F,quote=F,sep="\t")
+