PathGen: a transitive gene pathway generator | Zendy

Kendell Clement | Zendy; Nathaniel Gustafson | Zendy; Amanda Berbert | Zendy; Hyrum Carroll | Zendy; Christopher Merris | Zendy; Ammon Olsen | Zendy; Mark Clement | Zendy; Quinn Snell | Zendy; Jared Allen | Zendy; Randall J. Roper | Zendy

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PathGen: a transitive gene pathway generator

Author(s) -

Kendell Clement,

Nathaniel Gustafson,

Amanda Berbert,

Hyrum Carroll,

Christopher Merris,

Ammon Olsen,

Mark Clement,

Quinn Snell,

Jared Allen,

Randall J. Roper

Publication year - 2009

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/btp661

Subject(s) - computer science , in silico , gene interaction , transitive relation , gene , computational biology , biology , genetics , mathematics , combinatorics

Many online sources of gene interaction networks supply rich visual data regarding gene pathways that can aid in the study of biological processes, disease research and drug discovery. PathGen incorporates data from several sources to create transitive connections that span multiple gene interaction databases. Results are displayed in a comprehensible graphical format, showing gene interaction type and strength, database source and microarray expression data. These features make PathGen a valuable tool for in silico discovery of novel gene interaction pathways, which can be experimentally tested and verified. The usefulness of PathGen interaction analyses was validated using genes connected to the altered facial development related to Down syndrome.

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