I just skimmed through this post a couple of days back. It seems to be a method to correct the bias in the RNA-Seq data without loss using conditional quantile normalization. Has anyone ever tried this? Or have some idea about this? Seems interesting.
Is it for differential gene expression? If so, there is also this group that is looking at bias due to gene length and sequencing depth : http://bioinfo.cipf.es/aconesa/research3.html
Their tool is called NOISeq
There's also this: http://genomebiology.com/content/12/3/R22
Is it for differential gene expression? If so, there is also this group that is looking at bias due to gene length and sequencing depth : http://bioinfo.cipf.es/aconesa/research3.html Their tool is called NOISeq