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

R James Taylor12, Andrew F Siegel3 and Timothy Galitski1*

Author Affiliations

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

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

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

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Genome Biology 2007, 8:R160  doi:10.1186/gb-2007-8-8-r160

Published: 2 August 2007

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.