/home/moulos/Rbase/bin/R library(metaseqR) the.path="/data/images/proton/run272/www" metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCC_vs_cagAKO"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCC_vs_cagAKO"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABFF_vs_cagAKO"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABFF_vs_cagAKO"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCC_vs_AGS"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCC_vs_AGS"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCCC_vs_AGS"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCCC_vs_AGS"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABFF_vs_AGS"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABFF_vs_AGS"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABFFF_vs_AGS"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABFFF_vs_AGS"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("cagAKO_vs_AGS"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_cagAKO_vs_AGS"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) #@ metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCC_vs_ABCCC"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCC_vs_ABCCC"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCC_vs_ABFF"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCC_vs_ABFF"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABFF_vs_ABFFF"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABFF_vs_ABFFF"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) #@ metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCCC_vs_ABFFF"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCCC_vs_ABFFF"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCCC_vs_cagAKO"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCCC_vs_cagAKO"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABFFF_vs_cagAKO"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABFFF_vs_cagAKO"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") ) metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=c("ABCC_vs_ABCCC"), org="hg19", refdb="refseq", normalization="edger", statistics="edger", export.where=file.path(the.path,"metaseqr2_ABCC_vs_ABCCC"), qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise", "correl","pairwise","boxplot","volcano","biodist","deheatmap" ), pcut=0.05, gene.filters=NULL, exon.filters=NULL, export.what=c("flags","annotation","p.value","adj.p.value","fold.change","stats", "counts"), export.scale=c("log2"), export.values="normalized", export.counts.table=TRUE, restrict.cores=0.3, fig.format=c("png","pdf") )