Gene Set Knowledge Discovery with Enrichr

被引：1819

作者：

Xie, Zhuorui ^{[1
]}

Bailey, Allison ^{[1
]}

Kuleshov, Maxim V. ^{[1
]}

Clarke, Daniel J. B. ^{[1
]}

Evangelista, John E. ^{[1
]}

Jenkins, Sherry L. ^{[1
]}

Lachmann, Alexander ^{[1
]}

Wojciechowicz, Megan L. ^{[1
]}

Kropiwnicki, Eryk ^{[1
]}

Jagodnik, Kathleen M. ^{[1
]}

Jeon, Minji ^{[1
]}

Ma'ayan, Avi ^{[1
]}

机构：

[1] Icahn Sch Med Mt Sinai, Dept Pharmacol Sci, Mt Sinai Ctr Bioinformat, New York, NY 10029 USA

来源：

CURRENT PROTOCOLS | 2021年 / 1卷 / 03期

关键词：

bioinformatics; disease; drug discovery; enrichment analysis; gene sets; visualization; web application; WEB SERVER; EXPRESSION;

D O I：

10.1002/cpz1.90

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Profiling samples from patients, tissues, and cells with genomics, transcriptomics, epigenomics, proteomics, and metabolomics ultimately produces lists of genes and proteins that need to be further analyzed and integrated in the context of known biology. Enrichr (Chen et al., 2013; Kuleshov et al., 2016) is a gene set search engine that enables the querying of hundreds of thousands of annotated gene sets. Enrichr uniquely integrates knowledge from many high-profile projects to provide synthesized information about mammalian genes and gene sets. The platform provides various methods to compute gene set enrichment, and the results are visualized in several interactive ways. This protocol provides a summary of the key features of Enrichr, which include using Enrichr programmatically and embedding an Enrichr button on any website. (c) 2021 Wiley Periodicals LLC.

引用

页数：51

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