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Network motif analysis of a multi-mode genetic-interaction network

R James Taylor1,2 email, Andrew F Siegel3 email and Timothy Galitski1 email

Institute for Systems Biology, N. 34th Street, Seattle, WA 98103 USA

University of British Columbia, Department of Genetics, Vancouver, BC, V6T 1Z4, Canada

University of Washington, Departments of Management Science, Finance, and Statistics, Seattle, WA, 98195, USA

author email corresponding author email

Genome Biology 2007, 8:R160doi:10.1186/gb-2007-8-8-r160

Published: 2 August 2007

Subject areas: Genome studies, Bioinformatics, Genetics

Abstract

Different modes of genetic interaction indicate different functional relationships between genes. The extraction of biological information from dense multi-mode genetic-interaction networks demands appropriate statistical and computational methods. We developed such methods and implemented them in open-source software. Motifs extracted from multi-mode genetic-interaction networks form functional subnetworks, highlight genes dominating these subnetworks, and reveal genetic reflections of the underlying biochemical system.


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