WEB-based GEne SeT AnaLysis Toolkit
|Translating gene lists into biological insights...|
This is the beta version of the new WebGestalt server. Feedback and suggestions are welcome in user forum.
Data will be updated in the near future.
WebGestalt (WEB-based Gene SeT AnaLysis Toolkit) is a functional enrichment analysis web tool, which has been visited 209,028 times by 84,024 unique users from 144 countries and territories since 2013 according to Google Analytics. The WebGestalt 2005 and WebGestalt 2013 papers have been cited in 1179 scientific papers since 2013 according to Google Scholar.
WebGestalt 2017 significantly increased the number of supported organisms, gene identifiers, and functional categories in WebGestalt. Notably, experimental data from organisms or with gene identifiers not covered by the WebGestalt database can also be analyzed in WebGestalt. WebGestalt also supports three well-established and complementary methods for enrichment analysis, including Over-Representation Analysis (ORA), Gene Set Enrichment Analysis (GSEA), and Network Topology-based Analysis (NTA). To facilitate easy exploration and better understanding of the enrichment results, we have revamped the output interface with a user-friendly, tab-based, and interactive report. We have also developed a companion tool GOView that can help visualize and compare multiple Gene Ontology (GO) enrichment results under the GO Directed Acyclic Graph (DAG) structure.
Data sources for WebGestalt 2017 was updated on 1/27/2017, which supports 12 organisms, 324 gene identifiers from various databases and technology platforms, and 150,937 functional categories from public databases and computational analyses. Information in this version was collected from the following resources:
Hierarchical protein interaction modules: The modules are computationally derived from the protein-protein interaction networks downloaded from BioGRID using NetSAM.
microRNA target: MSigDB (MSigDB database v6.0, 2017)
Transcript factor target: MSigDB (MSigDB database v6.0, 2017)
Mammalian protein complexes: CORUM (Release July, 2017)
Browser support: We strongly recommend using evergreen browsers, such as Chrome and Firefox, although most functionalities should work on IE > 10. Version: 001b9c0c