Quantitative genetic interaction mapping using the E-MAP approach
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Updated: Jun 8, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
Published on: November 12, 2012
Sean R Collins1, Assen Roguev, Nevan J Krogan
1Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, California, USA.
Abstract:
Genetic interactions represent the degree to which the presence of one mutation modulates the phenotype of a second mutation. In recent years, approaches for measuring genetic interactions systematically and quantitatively have proven to be effective tools for unbiased characterization of gene function and have provided valuable data for analyses of evolution. Here, we present protocols for systematic measurement of genetic interactions with respect to organismal growth rate for two yeast species.

