Deleted:RIP-seq : normalize Input with Immunoprecipitated raw counts or not
Entering edit mode
26 days ago
am835821 • 0

Hi everyone,

I am analyzing a RIP-seq experiment made of 12 RNA libraries as follows :

6 "control" libraries : 3 input (total RNA) and their corresponding immunoprecipitated RNAs (IP) and 6 "affected" libraries : 3 input (total RNA) and their corresponding immunoprecipitated RNAs (IP)

  • Input control 1 - Input control 2 - Input control 3
  • IP control 1 - IP control 2 - IP control 3
  • Input affected 1 - Input affected 2 - Input affected 3
  • IP affected 1 - IP affected 2 - IP affected 3

I would like to analyze on one hand the 3 Input control vs the 3 Input affected and on the other hand the 3 control IP vs the 3 affected IP.

I am starting with a single raw count table of the 12 libraries. My question is : Should I split the table in half at the very beginning, an Input count table and IP count table and then perform all the normalization and DE analysis steps in parallel ? Or should I keep the 12 libraries in the same count table and perform normalization on the whole ?

I tried both and outputs are different unless I'm mistaken. I can not figure out which is the relevant choice. In my opinion, it is not suitable to compare the 6 Input between them from a count table normalized with the whole 12 libraries.

Thanks for your time and your help !

limma edgeR RIP-seq count normalization • 191 views
This thread is not open. No new answers may be added
Traffic: 2587 users visited in the last hour
Help About
Access RSS

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6