State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
Nucleic Acids Res. 2013 Jul;41(Web Server issue):W98-103. doi: 10.1093/nar/gkt281. Epub 2013 Apr 30.
Gene Set Enrichment Analysis (GSEA) is a powerful method for interpreting biological meaning of a list of genes by computing the overlaps with various previously defined gene sets. As one of the most widely used annotations for defining gene sets, Gene Ontology (GO) system has been used in many enrichment analysis tools. EasyGO and agriGO, two GO enrichment analysis toolkits developed by our laboratory, have gained extensive usage and citations since their releases because of their effective performance and consistent maintenance. Responding to the increasing demands of more comprehensive analysis from the users, we developed a web server as an important component of our bioinformatics analysis toolkit, named PlantGSEA, which is based on GSEA method and mainly focuses on plant organisms. In PlantGSEA, 20 290 defined gene sets deriving from different resources were collected and used for GSEA analysis. The PlantGSEA currently supports gene locus IDs and Affymatrix microarray probe set IDs from four plant model species (Arabidopsis thaliana, Oryza sativa, Zea mays and Gossypium raimondii). The PlantGSEA is an efficient and user-friendly web server, and now it is publicly accessible at http://structuralbiology.cau.edu.cn/PlantGSEA.
基因集富集分析(GSEA)是一种通过计算与各种先前定义的基因集的重叠来解释基因列表的生物学意义的强大方法。作为定义基因集的最广泛使用的注释之一,GO 系统已被用于许多富集分析工具中。我们实验室开发的两个 GO 富集分析工具 EasyGO 和 agriGO,自发布以来因其高效的性能和一致的维护而获得了广泛的应用和引用。为了响应用户对更全面分析的需求不断增加,我们开发了一个基于 GSEA 方法的网络服务器,作为我们生物信息学分析工具包的重要组成部分,名为 PlantGSEA,主要专注于植物生物。在 PlantGSEA 中,收集了 20290 个来自不同资源的定义基因集,用于 GSEA 分析。PlantGSEA 目前支持来自四个植物模式物种(拟南芥、水稻、玉米和陆地棉)的基因座 ID 和 Affymatrix 微阵列探针集 ID。PlantGSEA 是一个高效且用户友好的网络服务器,现在可以在 http://structuralbiology.cau.edu.cn/PlantGSEA 上公开访问。