Gene Set Knowledge Discovery with Enrichr-Reference-Cited by-同舟云学术

Gene Set Knowledge Discovery with Enrichr

Published:2021-03 Issue:3 Volume:1 Page:
ISSN:2691-1299
Container-title:Current Protocols
language:en
Short-container-title:Current Protocols

Author:

Xie Zhuorui¹,Bailey Allison¹,Kuleshov Maxim V.¹,Clarke Daniel J. B.¹,Evangelista John E.¹,Jenkins Sherry L.¹,Lachmann Alexander¹,Wojciechowicz Megan L.¹,Kropiwnicki Eryk¹,Jagodnik Kathleen M.¹,Jeon Minji¹,Ma'ayan Avi¹

Affiliation:

1. Department of Pharmacological Sciences Mount Sinai Center for Bioinformatics Icahn School of Medicine at Mount Sinai New York New York

Funder

National Institutes of Health

Publisher

Wiley

Subject

Medical Laboratory Technology,Health Informatics,General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpz1.90

Reference35 articles.

1. BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments

2. GTEx pilot quantifies eQTL variation across tissues and individuals

3. D³ Data-Driven Documents

4. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool

5. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization

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