Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology | Zendy

Peter N. Robinson | Zendy; Andreas Wollstein | Zendy; Ulrike Böhme | Zendy; Bradley J. Beattie | Zendy

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Ontologizing gene-expression microarray data: characterizing clusters with Gene Ontology

Author(s) -

Peter N. Robinson,

Andreas Wollstein,

Ulrike Böhme,

Bradley J. Beattie

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth040

Subject(s) - gene ontology , computer science , microarray databases , xml , java , microarray analysis techniques , ontology , gene , function (biology) , cluster (spacecraft) , gene cluster , computational biology , data mining , information retrieval , gene expression , biology , genetics , programming language , world wide web , philosophy , epistemology

An XML-based Java application is described that provides a function-oriented overview of the results of cluster analysis of gene-expression microarray data based on Gene Ontology terms and associations. The application generates one HTML page with listings of the frequencies of explicit and implicit Gene Ontology annotations for each cluster, and separate, linked pages with listings of explicit annotations for each gene in a cluster.

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