Gene Set Analysis Toolkit   
http://bioinfo.vanderbilt.edu/webgestalt
Vanderbilt University
 


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* GOTM users are able to login with their GOTM username and password.



WebGestalt is a "WEB-based GEne SeT AnaLysis Toolkit". WebGestalt incorporates information from different public resources and provides an easy way for biologists to make sense out of large sets of genes. It enables biologists to manipulate integrated information and find patterns that are not detectable otherwise. WebGestalt is designed for functional genomic, proteomic and large scale genetic studies from which high-throughput data are continuously produced. It currently works for human and mouse. WebGestalt is free for academic use after registration. Although WebGestalt provides functions for the storage of gene sets, PLEASE BE AWARE THAT THIS IS NOT A PLACE FOR SAVING YOUR DATA PERMANENTLY. YOUR DATA MAY BE DELETED WHEN WE UPGRADE THE SYSTEM. YOU SHOULD KEEP AN ARCHIVAL COPY OF YOUR IMPORTANT GENE SETS ON YOUR LOCAL SYSTEM. WE CAN NOT BE RESPONSIBLE FOR A LOSS OF THIS DATA.

Key Modules:

  • Gene set annotation module retrieves annotation data from 20 available options in an automated way for a gene set.

  • Gene set organization/visualization module organizes and visualizes gene sets using eight sub-modules: GOTree, Tissue Expression Bar Chart, Chromosomal Distribution Chart, KEGG Table and Maps, BioCarta Table and Maps, Protein Domain Table, PubMed Table and GRIF Table.

  • Gene set statistics module automatically chooses appropriate statistical methods to suggest important biological areas that warrant further study.

  • Gene set manipulation module provides tools for uploading, saving, retrieving and deleting gene sets, as well as tools for the Boolean operation to generate union, intersection or difference between gene sets.

Gallery: [ Schematic overview ] [ User interface ] [ Annotation ] [ GO Tree ] [ Tissue Expression bar chart for gene set ] [ Tissue Expression bar chart for single gene ] [ Chromosome distribution chart ] [ KEGG table and map ] [ Gene information card ] [ Third party connection: example from WebQTL ]




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).