How to interpret this RNA-seq multi-peak distribution density plot?
0
0
Entering edit mode
3 days ago
Omar • 0

This is RNA-seq data that I obtained through analysing the raw reads to get the counts matrix, after which DESeq2 differential expression analysis was done and after obtaining the normalized data I plotted the data to visualize the distribution and it gave this multi-peak plot, I am not an expert in RNA-seq data so can anyone interpret this and what might be the problem that led to such distribution? or is it even a problem!? also, can I proceed with such distribution for further analysis or is there a solution to apply to the data?

Note: the thing I doubt is when I was downloading the samples from SRA each sample had multiple runs in it so after a little bit of search I found 2 opinions about dealing with the runs either merging the runs and treat the multiple runs as one sample or treating each run as an individual sample and this is what I did in my case

Each 4 runs represent a sample so from 91->94 are sample **91 **and 95->98 are sample **95 **and so on

rna-seq distribution • 175 views
ADD COMMENT

Login before adding your answer.

Traffic: 2568 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

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

Powered by the version 2.3.6