GSEA Tool to use with RNA-seq data
1
0
Entering edit mode
4.7 years ago
restonpiston ▴ 60

Hello, I'm working with a set of RNA-seq data which I want to analyze the Gene Ontolgy Enrichment and the metabolic pathways from Kegg. I have already checked the Pathways and the GO using the hypergeometric test, but I wanted to cross check the results using the Gene Set Enrichment.

Optimally I would like a tool that takes the output of Deseq in some shape and form and runs the GSE test. I have tried GSEA but the results are not what I was expecting (using the metric of -log(pvalue) * sign(logFC)). What tools are currently being used successfully for this kind of analysis?

RNA-Seq GSEA • 2.4k views
ADD COMMENT
1
Entering edit mode

I use the same score in my ranking function. For GSEA and enrichment, I use clusterProfiler: http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html

You can pass in pathway annotations from msigdbr, reactome, GO, KEGG etc etc

ADD REPLY
0
Entering edit mode

Thanks for the answer! I have managed to use it and it works pretty well, even tho I had to modify my data a bit, as I am using custom pathway annotations.

ADD REPLY
1
Entering edit mode
4.7 years ago
Buffo ★ 2.4k

To date, WebGestalt is probable the best tool for GSEA analysis. You can use any ranked list, such as the log2fold from deseq.

ADD COMMENT
0
Entering edit mode

Thanks for the answer! Unfortunately, I do not seem to be able to have it working. I have input the data like this: WebGestalt Saccharomyces

Maybe you could tell me what I am doing wrong? I am receiving "R error (1565083554)".

ADD REPLY
0
Entering edit mode

Yes, I have noticed that error, FDR as a significance level apparently is not working, change it to TOP 30 (for example). This page is in continuous and exhaustive updates, so I hope it will be fixed soon.

ADD REPLY

Login before adding your answer.

Traffic: 1765 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