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WebGestalt | An integrated system for exploring gene sets in various biological contexts

Permits the management, information retrieval, organization, visualization and statistical analysis of large sets of genes. WebGestalt integrates functional enrichment analysis and information visualization. It supports about 12 organisms, more than 320 gene identifiers from various databases and technology platforms, and about 151 000 functional categories from public databases and computational analyses.

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WebGestalt classification

WebGestalt specifications

Unique identifier:
OMICS_02222
Interface:
Web user interface
Input data:
Some values for individual genes.
Computer skills:
Basic
Maintained:
Yes
Name:
WEB-based GEne SeT AnaLysis Toolkit
Restrictions to use:
None
Output data:
The analysis summary, gene identifier (ID) mapping information, GO Slim summary and enrichment results.
Stability:
Stable

WebGestalt support

Documentation

Credits

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Publications

Institution(s)

Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA

Funding source(s)

Supported by National Cancer Institute (NCI) [U24 CA210954]; Leidos Biomedical Research, Inc. [15X038]; Cancer Prevention & Research Institutes of Texas Scholarship (CPRIT) [RR160027] and McNair Medical Institute Scholarship.

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