Quantitative epistasis analysis and pathway inference from genetic interaction data.

ABSTRACT: Inferring regulatory and metabolic network models from quantitative genetic interaction data remains a major challenge in systems biology. Here, we present a novel quantitative model for interpreting epistasis within pathways responding to an external signal. The model provides the basis of an experimental method to determine the architecture of such pathways, and establishes a new set of rules to infer the order of genes within them. The method also allows the extraction of quantitative parameters enabling a new level of information to be added to genetic network models. It is applicable to any system where the impact of combinatorial loss-of-function mutations can be quantified with sufficient accuracy. We test the method by conducting a systematic analysis of a thoroughly characterized

SUBMITTER: Phenix H 

PROVIDER: S-EPMC3093353 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature