Network motif analysis of a multi-mode genetic-interaction network.
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.
Taylor
R James
RJ
Institute for Systems Biology, N. 34th Street, Seattle, WA 98103 USA. jtaylor@systemsbiology.org
Siegel
Andrew F
AF
Galitski
Timothy
T
D019295:Computational Biology / Q000379:methods*; D053263:Gene Regulatory Networks; D009010:Monte Carlo Method; D012984:Software