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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
Published on: August 16, 2017
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Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Maxim V Kuleshov1, Matthew R Jones1, Andrew D Rouillard1
1Department of Pharmacology and Systems Therapeutics, BD2K-LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place Box 1215, New York, NY 10029, USA.
Nucleic Acids Research
|May 5, 2016
Summary
Enrichr, a gene set analysis tool, has been updated with new features like fuzzy set analysis and BED file uploads. This comprehensive resource now offers 180,184 gene sets across 102 libraries for biological discovery.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Gene set enrichment analysis is crucial for interpreting genome-wide experimental data.
- Enrichr is an established tool for gene set analysis.
Purpose of the Study:
- To present significant updates and new features for the Enrichr tool.
- To highlight Enrichr's expanded capabilities as a comprehensive resource for biological knowledge discovery.
Main Methods:
- Integration of new functionalities including fuzzy set submission and BED file uploads.
- Enhancement of the application programming interface (API).
- Implementation of clustergram visualization for results.
Main Results:
- Enrichr now hosts 180,184 annotated gene sets from 102 diverse libraries.
- The updated tool provides improved analysis capabilities and data visualization.
- New features enhance user accessibility and data integration.
Conclusions:
- Enrichr serves as a comprehensive and updated resource for curated gene sets.
- The tool facilitates biological discoveries through advanced analysis and knowledge accumulation.
- Enrichr is freely available, promoting broader scientific accessibility.

