reczko@fix:/data/images/proton2/run403$ ../rnaSeq-pip6fast-mm10.sh ./pip.sh &> pip.log & awk -f /data/images/proton/link-bam-files-to-sample-ids1.awk ../samples.txt > link-bam-files-to-sample-ids1.sh source link-bam-files-to-sample-ids1.sh awk -f /data/images/proton/make-metaseqr-targets1.awk ../samples.txt > targets.txt require(metaseqR) the.path <- "/data/images/proton2/run403/www" the.contrasts.1 <- c( "Wt_vs_C_221_222", "Wt_vs_Tg197", "Tg197_C_vs_Tg197", "Tg197_C_vs_C_221_222" ) #v2 metaseqr( sample.list=file.path(the.path,"targets-wo-GK3R197.txt"), contrast=the.contrasts.1, annotation="download", org="mm10", count.type="utr", normalization="deseq", statistics="deseq", fig.format=c("png","pdf"), export.where=file.path(the.path,"metaseqr_GKlab_run403-wo-GK3R197"), restrict.cores=0.5, qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise","filtered", "correl","pairwise","boxplot","gcbias","lengthbias", "biodist","volcano","deheatmap" ), exon.filters=NULL, gene.filters=list( length=list( length=500 ), avg.reads=list( average.per.bp=100, quantile=0.25 ), expression=list( median=TRUE, mean=FALSE, quantile=NA, known=NA, custom=NA ), biotype=get.defaults("biotype.filter","hg19") ), pcut=0.05, export.what=c("annotation","p.value","adj.p.value","fold.change", "counts","flags"), export.scale=c("log2","rpgm"), export.values="normalized", export.counts.table=TRUE, report.top=0.05 ) #v1 metaseqr( sample.list=file.path(the.path,"targets.txt"), contrast=the.contrasts.1, annotation="download", org="mm10", count.type="utr", normalization="deseq", statistics="deseq", fig.format=c("png","pdf"), export.where=file.path(the.path,"metaseqr_GKlab_run403"), restrict.cores=0.5, qc.plots=c( "mds","biodetection","countsbio","saturation","readnoise","filtered", "correl","pairwise","boxplot","gcbias","lengthbias", "biodist","volcano","deheatmap" ), exon.filters=NULL, gene.filters=list( length=list( length=500 ), avg.reads=list( average.per.bp=100, quantile=0.25 ), expression=list( median=TRUE, mean=FALSE, quantile=NA, known=NA, custom=NA ), biotype=get.defaults("biotype.filter","hg19") ), pcut=0.05, export.what=c("annotation","p.value","adj.p.value","fold.change", "counts","flags"), export.scale=c("log2","rpgm"), export.values="normalized", export.counts.table=TRUE, report.top=0.05 )