Journal Article

PathGen: a transitive gene pathway generator

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

in Bioinformatics

Volume 26, issue 3, pages 423-425
Published in print February 2010 | ISSN: 1367-4803
Published online December 2009 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btp661
PathGen: a transitive gene pathway generator

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Summary: 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.

Availability: http://dna.cs.byu.edu/pathgen

Contact: clement@cs.byu.edu

Supplementary Information: Supplementary data are available at Bioinformatics online. Further information is available at http://dna.cs.byu.edu/pathgen/PathGenSupplemental.pdf

Journal Article.  1568 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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