Thanks! Looks like DEXseq may be the ticket. I'll have a look right now.
Most of my work has been on NGS QC, but lately I've been getting approached with queries for downstream analysis. An investigator was interested in evaluating differential expression of a small set of genes. I ran the investigator's RNASeq datasets through the Tuxedo suite and also through a BWA -> DESeq pipeline to get familiar with established techniques.
Now the investigator wants to focus on expression of a particular murine gene, but only on transcripts which are missing two specific exons. I have the consensus sequences of these exons.
What I'm not sure about is the general strategy to obtain this particular expression information. Having some sort of idea about which tools to investigate would be especially helpful.
1 answer
FWIW, if you are really looking to do the "latter" part of what I said as a comment to your original question, then DEXSeq won't be the ticket. DEXSeq is appropriate when you want to identify exons that are differentially expressed (the first part of what I said in the comment)
Cool, thanks for the heads up. I'm deep in the documentation right now. I'm also reading through the Tuxedo suite docs, but I haven't yet determined a strategy.
I have the same problem, DEXseq will tell which exons are different but not which junctions are different. Other than manually looking at the bam files in IGV, is there a computational way to see how many reads span 1-3 rather than 1-2-3?
maybe you can extract the reads in the region and separating them by the CIGAR information with some script
Log in to answer this question.
Just a clarifying question: are you trying to identify genes that include/exclude exons between two conditions? Or are you saying that you know the gene you want to look at which expressed several isoforms, and you are trying to deconvolve the expression of each isoform from the "total" expression of the gene?
Good question, Steve. In my case, it's the latter of the two possibilities. Thanks!