上传
生物
集合(抽象数据类型)
Web服务器
计算生物学
接口(物质)
可视化
应用程序编程接口
基因组
基因命名
互联网
计算机科学
情报检索
万维网
基因
数据挖掘
遗传学
程序设计语言
植物
分类学(生物学)
肺表面活性物质
生物化学
吉布斯等温线
命名法
作者
Maxim V. Kuleshov,Matthew R. Jones,Andrew D. Rouillard,Nicolas Fernandez,Qiaonan Duan,Zichen Wang,Simon Koplev,Sherry L. Jenkins,Kathleen M. Jagodnik,Alexander Lachmann,Michael G. McDermott,Caroline D. Monteiro,Gregory W. Gundersen,Avi Ma’ayan
摘要
Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. New features have been added to Enrichr including the ability to submit fuzzy sets, upload BED files, improved application programming interface and visualization of the results as clustergrams. Overall, Enrichr is a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries. Enrichr is freely available at: http://amp.pharm.mssm.edu/Enrichr.
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