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 PMID:31248361  

FunSet: an open-source software and web server for performing and displaying Gene Ontology enrichment analysis.

Matthew L Hale | Ishwor Thapa | Dario Ghersi
BMC bioinformatics | 2019

Gene Ontology enrichment analysis provides an effective way to extract meaningful information from complex biological datasets. By identifying terms that are significantly overrepresented in a gene set, researchers can uncover biological features shared by genes. In addition to extracting enriched terms, it is also important to visualize the results in a way that is conducive to biological interpretation.

Pubmed ID: 31248361

Research resources used in this publication

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Additional research tools detected in this publication

Antibodies used in this publication

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Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


AmiGO (tool)

RRID:SCR_002143

Web tool to search, sort, analyze, visualize and download data of interest. Along with providing details of the ontologies, gene products and annotations, features a BLAST search, Term Enrichment and GO Slimmer tools, the GO Online SQL Environment and a user help guide.Used at the Gene Ontology (GO) website to access the data provided by the GO Consortium. Developed and maintained by the GO Consortium.

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scikit-learn (tool)

RRID:SCR_002577

scikit-learn: machine learning in Python

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