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

Current Protocols3/1/2021·DOI·Read paper

Abstract

AbstractProfiling 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. © 2021 Wiley Periodicals LLC.Basic Protocol 1: Analyzing lists of differentially expressed genes from transcriptomics, proteomics and phosphoproteomics, GWAS studies, or other experimental studiesBasic Protocol 2: Searching Enrichr by a single gene or key search termBasic Protocol 3: Preparing raw or processed RNA‐seq data through BioJupies in preparation for Enrichr analysisBasic Protocol 4: Analyzing gene sets for model organisms using modEnrichrBasic Protocol 5: Using Enrichr in GeneshotBasic Protocol 6: Using Enrichr in ARCHS4Basic Protocol 7: Using the enrichment analysis visualization Appyter to visualize Enrichr resultsBasic Protocol 8: Using the Enrichr APIBasic Protocol 9: Adding an Enrichr button to a website

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