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  1. WebGestalt: an integrated system for exploring gene sets in various biological contexts. Nucleic Acids Res, 33(Web Server issue), W741-748. Browser support: We strongly recommend using evergreen browsers, such as Chrome and Firefox, although most functionalities should work on IE > 10.

  2. WebGestalt (WEB-based Gene SeT AnaLysis Toolkit) is a functional enrichment analysis web tool, which has on average 26,000 unique users from 144 countries and territories per year according to Google Analytics.

  3. www.webgestalt.org › processWebGestalt

    WEB-based GEne SeT AnaLysis Toolkit. Translating gene lists into biological insights... R error (session_id: 1718793134). WebGestalt is currently developed and maintained by John Elizarraras, Yuxing Liao, Zhiao Shi and Bing Zhang at the Zhang Lab.

  4. May 22, 2019 · WebGestalt 2019 presents an update with expanded functionalities, revamped UIs, a new R package and web APIs. Since the other major web-based enrichment tools have not updated since the previous update of WebGestalt, the comparison from the WebGestalt 2017 paper remains valid for this update.

  5. Jul 2, 2019 · WebGestalt is a popular tool for the interpretation of gene lists derived from large scale -omics studies. In the 2019 update, WebGestalt supports 12 organisms, 342 gene identifiers and 155 175 functional categories, as well as user-uploaded functional databases.

  6. Learn how to use WebGestalt, a web tool for functional enrichment analysis of gene sets from various contexts and sources.

  7. The WEB-based GEne SeT AnaLysis Toolkit (WebGestalt) is a suite of tools for functional enrichment analysis in various biological contexts. WebGestalt has been visited by 50,000 unique users on average per year from 144 countries and territories according to Google Analytics.

  8. Jul 3, 2017 · WebGestalt has some advanced visualization features, including the novel DAG-based GO list comparison. Many of the newly added functional categories in WebGestalt are not supported by other tools, especially the computationally derived mRNA co-expression modules from 33 cancer types.

  9. May 29, 2024 · To evaluate the improvements in enrichment analysis speed within WebGestalt 2024, we conducted a comparative assessment of computational efficiency relative to WebGestalt 2019. Differential gene expression data from resistant versus sensitive breast tumors in the BrighTNess trial's veliparib treatment arm ( 28 ), downloaded from ClinicalOmicsDB ...

  10. Jul 1, 2005 · We have developed a web-based integrated data mining system, WebGestalt (http://genereg.ornl.gov/webgestalt/), to help biologists in exploring large sets of genes. WebGestalt is composed of four modules: gene set management, information retrieval, organization/visualization, and statistics.

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