PiNGO: a Cytoscape plugin to find candidate genes in biological networks | Zendy

Michael Smoot | Zendy; Keiichiro Ono | Zendy; Trey Ideker | Zendy; Steven Maere | Zendy

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PiNGO: a Cytoscape plugin to find candidate genes in biological networks

Author(s) -

Michael Smoot,

Keiichiro Ono,

Trey Ideker,

Steven Maere

Publication year - 2011

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/btr045

Subject(s) - plug in , computer science , visualization , process (computing) , world wide web , license , ontology , java , information retrieval , data mining , operating system , philosophy , epistemology

PiNGO is a tool to screen biological networks for candidate genes, i.e. genes predicted to be involved in a biological process of interest. The user can narrow the search to genes with particular known functions or exclude genes belonging to particular functional classes. PiNGO provides support for a wide range of organisms and Gene Ontology classification schemes, and it can easily be customized for other organisms and functional classifications. PiNGO is implemented as a plugin for Cytoscape, a popular network visualization platform.

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