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