Gene Set Knowledge Discovery with Enrichr

Zhuorui Xie, Allison Bailey, Maxim V. Kuleshov, Daniel J.B. Clarke, John E. Evangelista, Sherry L. Jenkins, Alexander Lachmann, Megan L. Wojciechowicz, Eryk Kropiwnicki, Kathleen M. Jagodnik, Minji Jeon, Avi Ma'ayan

Research output: Contribution to journalArticlepeer-review

749 Scopus citations


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.

Original languageEnglish
Article numbere90
JournalCurrent Protocols
Issue number3
StatePublished - Mar 2021


  • bioinformatics
  • disease
  • drug discovery
  • enrichment analysis
  • gene sets
  • visualization
  • web application


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