NetAffx Gene Ontology Mining Tool: a visual approach for microarray data analysis | Zendy

Jill Cheng | Zendy; Shaw Sun | Zendy; Adam Tracy | Zendy; Earl Hubbell | Zendy; Joseph Morris | Zendy; Venu Valmeekam | Zendy; Andrew Kimbrough | Zendy; Melissa Cline | Zendy; Guoying Liu | Zendy; Ron Shigeta | Zendy; David Kulp | Zendy; Michael A. Siani-Rose | Zendy

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NetAffx Gene Ontology Mining Tool: a visual approach for microarray data analysis

Author(s) -

Jill Cheng,

Shaw Sun,

Adam Tracy,

Earl Hubbell,

Joseph Morris,

Venu Valmeekam,

Andrew Kimbrough,

Melissa Cline,

Guoying Liu,

Ron Shigeta,

David Kulp,

Michael A. Siani-Rose

Publication year - 2004

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/bth087

Subject(s) - computer science , graph traversal , visualization , annotation , graph , information retrieval , data mining , microarray analysis techniques , microarray databases , context (archaeology) , theoretical computer science , gene , artificial intelligence , biology , paleontology , biochemistry , gene expression

The NetAffx Gene Ontology (GO) Mining Tool is a web-based, interactive tool that permits traversal of the GO graph in the context of microarray data. It accepts a list of Affymetrix probe sets and renders a GO graph as a heat map colored according to significance measurements. The rendered graph is interactive, with nodes linked to public web sites and to lists of the relevant probe sets. The GO Mining Tool provides visualization combining biological annotation with expression data, encompassing thousands of genes in one interactive view.

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