WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs

被引:2307
作者
Liao, Yuxing [1 ]
Wang, Jing [1 ]
Jaehnig, Eric J. [1 ]
Shi, Zhiao [1 ]
Zhang, Bing [1 ,2 ]
机构
[1] Baylor Coll Med, Lester & Sue Smith Breast Ctr, Houston, TX 77030 USA
[2] Baylor Coll Med, Dept Mol & Human Genet, Houston, TX 77030 USA
关键词
ENRICHMENT ANALYSIS;
D O I
10.1093/nar/gkz401
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
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. To address the growing and unique need for phosphoproteomics data interpretation, we have implemented phosphosite set analysis to identify important kinases from phosphoproteomics data. We have completely redesigned result visualizations and user interfaces to improve user-friendliness and to provide multiple types of interactive and publication-ready figures. To facilitate comprehension of the enrichment results, we have implemented two methods to reduce redundancy between enriched gene sets. We introduced a web API for other applications to get data programmatically from the WebGestalt server or pass data to WebGestalt for analysis. We also wrapped the core computation into an R package called WebGestaltR for users to perform analysis locally or in third party workflows. WebGestalt can be freely accessed at http://www.webgestalt.org.
引用
收藏
页码:W199 / W205
页数:7
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