EagleEye
genome annotation, transcriptome, RNA-seq, ChIP-seq, ChRIP, PARCLIP, cancer, noncoding, long-noncoding RNAS, epigenetics
Our Sponsors
RPKM normalization- R script
By EagleEye 3077 days ago Comments (1)
P<-read.table("input_table.txt",sep="\t",header=T)
len <- ncol(p)
rownames(p) <- p[,1]
for(i in 2:ncol(p)-1)
{
d <-p[,i]
l <- p[,len] #accessing the length column
cS <- sum(as.numeric(p[,i])) #Total mapped reads per sample
rpkm[[i]] <- (10^9)*(as.numeric(p[,i]))/(as.numeric(l)*cS)
rpkm[[1]] <- p[[1]]
}
write.table(rpkm,"output_table_rpkm.txt",sep="\t",quote=F,row.names=F)
Comments
Using Perl script,
http://bioinformaticsonline.com/snippets/view/28043/rpkm-normalization-perl