Entering edit mode
7.7 years ago
debitboro
▴
270
Hi biostars community,
I've conducted a DE analysis on RNASeq data. In the first time, I realized the study using a filtered annotation file (.gtf file downloaded from Ensembl and in which I removed all the ncRNAs, tRNAs, and rRNAs) in the mapping step. In a second time I left the annotation file without any modification. As a results from the two pipelines, I got 1500 DE features in the 1st case, and more than 7000 DE features in the second case. Which of the two pipelines gives good results ?
waiting for your suggestions
thanks
I believe you need to check whether those 5500 extra DE are all nc, t or r RNAs.