-reading file: D12_01/quant.sf -reading file: D12_02/quant.sf -reading file: D12_03/quant.sf -reading file: D12_04/quant.sf -reading file: D12_05/quant.sf -reading file: D12_06/quant.sf -reading file: D12_07/quant.sf -reading file: D12_08/quant.sf -reading file: D12_09/quant.sf -reading file: D26_01/quant.sf -reading file: D26_02/quant.sf -reading file: D26_03/quant.sf -reading file: D26_04/quant.sf -reading file: D26_05/quant.sf -reading file: D26_06/quant.sf * Outputting combined matrix. /gscratch/srlab/programs/trinityrnaseq-v2.9.0/util/support_scripts/run_TMM_scale_matrix.pl --matrix salmon.isoform.TPM.not_cross_norm > salmon.isoform.TMM.EXPR.matrixCMD: R --no-save --no-restore --no-site-file --no-init-file -q < salmon.isoform.TPM.not_cross_norm.runTMM.R 1>&2 > library(edgeR) Loading required package: limma > > rnaseqMatrix = read.table("salmon.isoform.TPM.not_cross_norm", header=T, row.names=1, com='', check.names=F) > rnaseqMatrix = as.matrix(rnaseqMatrix) > rnaseqMatrix = round(rnaseqMatrix) > exp_study = DGEList(counts=rnaseqMatrix, group=factor(colnames(rnaseqMatrix))) > exp_study = calcNormFactors(exp_study) > exp_study$samples$eff.lib.size = exp_study$samples$lib.size * exp_study$samples$norm.factors > write.table(exp_study$samples, file="salmon.isoform.TPM.not_cross_norm.TMM_info.txt", quote=F, sep="\t", row.names=F) > /gscratch/srlab/programs/trinityrnaseq-v2.9.0/util/support_scripts/run_TMM_scale_matrix.pl --matrix salmon.gene.TPM.not_cross_norm > salmon.gene.TMM.EXPR.matrixCMD: R --no-save --no-restore --no-site-file --no-init-file -q < salmon.gene.TPM.not_cross_norm.runTMM.R 1>&2 > library(edgeR) Loading required package: limma > > rnaseqMatrix = read.table("salmon.gene.TPM.not_cross_norm", header=T, row.names=1, com='', check.names=F) > rnaseqMatrix = as.matrix(rnaseqMatrix) > rnaseqMatrix = round(rnaseqMatrix) > exp_study = DGEList(counts=rnaseqMatrix, group=factor(colnames(rnaseqMatrix))) > exp_study = calcNormFactors(exp_study) > exp_study$samples$eff.lib.size = exp_study$samples$lib.size * exp_study$samples$norm.factors > write.table(exp_study$samples, file="salmon.gene.TPM.not_cross_norm.TMM_info.txt", quote=F, sep="\t", row.names=F) >