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Genome Biology

, 8:R160

First Online: 02 August 2007Received: 26 April 2007Revised: 01 May 2007Accepted: 02 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.

AbbreviationsΦAphenotype of genetic perturbation A

ΦABphenotype of the double A and B genetic perturbation

ΦBphenotype of genetic perturbation B

ΦWTwild type phenotype

2nGO-motifssignificant 2-node network patterns identified from the genetic network integrated with GOSLIM molecular function annotations

3nGO-motifssignificant 3-node network patterns identified from the genetic network integrated with GOSLIM molecular function annotations

3n-motifssignificant 3-node network patterns

4n-motifssignificant 4-node network patterns

fMAPKfilamentation-invasion MAP-kinase pathway.

Electronic supplementary materialThe online version of this article doi:10.1186-gb-2007-8-8-r160 contains supplementary material, which is available to authorized users.

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Autor: R James Taylor - Andrew F Siegel - Timothy Galitski

Fuente: https://link.springer.com/







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