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Top 1000 phosphosites with significantly higher abundance in tumors compared to normal samples in a pan-cancer analysis across eight cancer types, enriched against kinase substrate phosphosite sets. Data from LinkedOmicsKB. Load Example. Gene/FunMap.
Basic parameters. Organism of Interest. Method of Interest. Funtional Database.
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.
May 22, 2019 · Abstract 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.
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.
In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results.
WebGestalt R package is the R version of our well-known web application tool WebGestalt ( www.webgestalt.org) that has on average 27,000 users from 140 countries and territories per year and has also been cited 371 in 2016.
WebGestalt is a "WEB-based GEne SeT AnaLysis Toolkit". It is designed for functional genomic, proteomic and large-scale genetic studies from which a large number of gene lists (e.g., differentially expressed gene sets, co-expressed gene sets, etc.) are continuously generated.
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.
For WebGestalt 2024, the following major improvements are introduced compared to the WebGestalt 2019 version: The new version significantly increases the number of functional categories from 321,251 to 620,000, which includes metabolomics
