Question: How do you interpret the results from GSEA analysis in CLC Genomics workbench?
gravatar for sharon.e.hook
3.8 years ago by
sharon.e.hook0 wrote:

Hi -

Has anyone else used the GSEA analysis feature in CLC Genomics work bench? How do you interpret the results? How does the test statistic provided relate to a p value? I can't find anything in their online tutorials.

Thanks, Sharon

rna-seq • 1.9k views
ADD COMMENTlink modified 13 months ago by Jonathanjacobs250 • written 3.8 years ago by sharon.e.hook0
gravatar for andorjkiss
2.0 years ago by
United States
andorjkiss10 wrote:

There's a section in the manual that explains how the GSEA test is implemented:

Conceptually, the entry to wikipedia ( is helpful. But remember, GSEA is largely human focussed, which may not be relevant to non-human systems.

In essence, GSEA identifies (statistically) over/under represented gene functions based on what is expected (human).

ADD COMMENTlink written 2.0 years ago by andorjkiss10
gravatar for Jonathanjacobs
13 months ago by
Rockville, MD
Jonathanjacobs250 wrote:

There are a number of ways to use GSEA analysis in CLC Genomics Workbench and Server - for RNAseq, miRNAseq, microarray analysis, and functional metagenomics profiling. In general, the CLC platform allows for Gene Ontology files to either be imported directly or directly downloaded (from GOC) and then used to annotate your results.

Given that this post was from a couple of years ago - if you're referring to the GSEA that was part of the RNAseq tools prior to Genomics Workbench v12- the details on it's implementation are here

(also Tian et. al. 2005 -

We also have a hypergeometric test (GOStats) from Falcon et. al 2007.

I'll also add that we improved the implementation of these tests for (mRNA) RNAseq data specifically in the current release (details here:

ADD COMMENTlink written 13 months ago by Jonathanjacobs250
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