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. © 2021 Wiley Periodicals LLC.

Basic Protocol 1: Analyzing lists of differentially expressed genes from transcriptomics, proteomics and phosphoproteomics, GWAS studies, or other experimental studies

Basic Protocol 2: Searching Enrichr by a single gene or key search term

Basic Protocol 3: Preparing raw or processed RNA‐seq data through BioJupies in preparation for Enrichr analysis

Basic Protocol 4: Analyzing gene sets for model organisms using modEnrichr

Basic Protocol 5: Using Enrichr in Geneshot

Basic Protocol 6: Using Enrichr in ARCHS4

Basic Protocol 7: Using the enrichment analysis visualization Appyter to visualize Enrichr results

Basic Protocol 8: Using the Enrichr API

Basic Protocol 9: Adding an Enrichr button to a website