Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

被引：6092

作者：

Kuleshov, Maxim V. ^{[1
]}

Jones, Matthew R. ^{[1
]}

Rouillard, Andrew D. ^{[1
]}

Fernandez, Nicolas F. ^{[1
]}

Duan, Qiaonan ^{[1
]}

Wang, Zichen ^{[1
]}

Koplev, Simon ^{[1
]}

Jenkins, Sherry L. ^{[1
]}

Jagodnik, Kathleen M. ^{[2
]}

Lachmann, Alexander ^{[1
]}

McDermott, Michael G. ^{[1
]}

Monteiro, Caroline D. ^{[1
]}

Gundersen, Gregory W. ^{[1
]}

Ma'ayan, Avi ^{[1
]}

机构：

[1] Icahn Sch Med Mt Sinai, Dept Pharmacol & Syst Therapeut, LINCS Data Coordinat & Integrat Ctr BD2K, One Gustave L Levy Pl,Box 1215, New York, NY 10029 USA

[2] NASA Glenn Res Ctr, Fluid Phys & Transport Proc Branch, 21000 Brookpk Rd, Cleveland, OH 44135 USA

来源：

NUCLEIC ACIDS RESEARCH | 2016年 / 44卷 / W1期

关键词：

FUNCTIONAL INTERPRETATION; ONTOLOGY TERMS; PATHWAY; LIST; TOOL; INFORMATION; DRAFT; GEO;

D O I：

10.1093/nar/gkw377

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

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.

引用

页码：W90 / W97

页数：8

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