WebGestalt 2017: a more comprehensive, powerful, flexible and interactive gene set enrichment analysis toolkit

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2017
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Abstract
Functional enrichment analysis has played a key role in the biological interpretation of high-throughput omics data. As a long-standing and widely used web application for functional enrichment analysis, WebGestalt has been constantly updated to satisfy the needs of biologists from different research areas. WebGestalt 2017 supports 12 organisms, 324 gene identifiers from various databases and technology platforms, and 150 937 functional categories from public databases and computational analyses. Omics data with gene identifiers not supported by WebGestalt and functional categories not included in the WebGestalt database can also be uploaded for enrichment analysis. In addition to the Over-Representation Analysis in the previous versions, Gene Set Enrichment Analysis and Network Topology-based Analysis have been added to WebGestalt 2017, providing complementary approaches to the interpretation of high-throughput omics data. The new user-friendly output interface and the GOView tool allow interactive and efficient exploration and comparison of enrichment results. Thus, WebGestalt 2017 enables more comprehensive, powerful, flexible and interactive functional enrichment analysis. It is freely available at http://www.webgestalt.org.
Reference Key
openalex_W2611696724 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jing Wang, Suhas Vasaikar, Zhiao Shi, Michael S. Greer, Bing Zhang
Journal Nucleic Acids Research
Year 2017
DOI
10.1093/nar/gkx356
URL
https://academic.oup.com/nar/article-pdf/45/W1/W130/18137438/gkx356.pdf
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