WebGestalt is a "WEB-based GEne SeT AnaLysis Toolkit".
It is designed for functional genomic, proteomic and large scale genetic studies from which large number of gene sets (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated.
WebGestalt incorporates information from different public resources and provides an easy way for biologists to make sense out of large sets of genes.
WebGestalt2.0 is an improved version of the original WebGestalt.
As shown in the figure below, in WebGestalt2.0, you may:
1. Add new gene sets through a file, by a Gene Ontology term, or by a KEGG pathway.
2. Share your gene sets with colleagues.
3. Compare different gene sets to reveal intersection and difference.
4. Analyze a gene set to get orthologs, chromosome distribution, functional classification, and functional category enrichment.
5. Retrieve microarray and proteomics gene expression profiling data for a gene set and visualize the retrieved data in a heatmap.
The current version of WebGestalt is 2.0.49, which is updated on 05/01/2008. It supports eight organisms including human, mouse, rat, worm, fly, yeast, dog, and zebrafish. Information in this version was collected from
Ensembl Mart (version 49, 03/19/2008),
Gene Ontology (version 5.761, 04/18/2008),
GO Slim (version 1.762, 03/26/2008),
KEGG (03/03/2008), and
Interpro (03/20/2008).
Original gene sets (i.e. gene sets uploaded from user files) in the previous version were remapped based on the current annotation and are available in the current version. Derived gene sets (i.e. gene sets derived from ortholog mapping or defined by Gene Ontology etc) in the previous version were removed in the current version. Previous version is still available here.
WebGestalt is currently developed and maintained by Dr. Bing Zhang's group. The project was initiated by Bing Zhang, Stefan Kirov, and Jay Snoddy in 2004.
Funding credits: NIAAA Integrative Neuroscience Initiative on Alcoholism (U01AA016662, U01AA013512); NIH/NIDA BISTI (P01DA015027).
