Gene Set Knowledge Discovery with Enrichr. Issue 3 (29th March 2021)
- Record Type:
- Journal Article
- Title:
- Gene Set Knowledge Discovery with Enrichr. Issue 3 (29th March 2021)
- Main Title:
- Gene Set Knowledge Discovery with Enrichr
- Authors:
- Xie, Zhuorui
Bailey, Allison
Kuleshov, Maxim V.
Clarke, Daniel J. B.
Evangelista, John E.
Jenkins, Sherry L.
Lachmann, Alexander
Wojciechowicz, Megan L.
Kropiwnicki, Eryk
Jagodnik, Kathleen M.
Jeon, Minji
Ma'ayan, Avi - Abstract:
- Abstract: 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 resultsAbstract: 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 … (more)
- Is Part Of:
- Current protocols. Volume 1:Issue 3(2021)
- Journal:
- Current protocols
- Issue:
- Volume 1:Issue 3(2021)
- Issue Display:
- Volume 1, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 1
- Issue:
- 3
- Issue Sort Value:
- 2021-0001-0003-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-03-29
- Subjects:
- bioinformatics -- disease -- drug discovery -- enrichment analysis -- gene sets -- visualization -- web application
Life sciences -- Laboratory manuals -- Periodicals
Biology -- Laboratory manuals -- Periodicals
Life sciences -- Technique -- Periodicals
Biology -- Technique -- Periodicals
570.028 - Journal URLs:
- https://currentprotocols.onlinelibrary.wiley.com/journal/26911299 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cpz1.90 ↗
- Languages:
- English
- ISSNs:
- 2691-1299
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24531.xml