Using GOstats to test gene lists for GO term association | Zendy

Seth Falcon | Zendy; Robert Gentleman | Zendy

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Using GOstats to test gene lists for GO term association

Author(s) -

Seth Falcon,

Robert Gentleman

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl567

Subject(s) - bioconductor , computer science , gene ontology , hypergeometric distribution , term (time) , association test , association (psychology) , representation (politics) , test (biology) , ontology , data mining , gene , biology , mathematics , statistics , genetics , psychology , philosophy , law , psychotherapist , gene expression , genotype , paleontology , epistemology , quantum mechanics , political science , physics , politics , single nucleotide polymorphism

Functional analyses based on the association of Gene Ontology (GO) terms to genes in a selected gene list are useful bioinformatic tools and the GOstats package has been widely used to perform such computations. In this paper we report significant improvements and extensions such as support for conditional testing.

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