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A strategy for extracting and analyzing large-scale quantitative epistatic interaction data.

ABSTRACT: Recently, approaches have been developed for high-throughput identification of synthetic sick/lethal gene pairs. However, these are only a specific example of the broader phenomenon of epistasis, wherein the presence of one mutation modulates the phenotype of another. We present analysis techniques for generating high-confidence quantitative epistasis scores from measurements made using synthetic genetic array and epistatic miniarray profile (E-MAP) technology, as well as several tools for higher-level analysis of the resulting data that are greatly enhanced by the quantitative score and detection of alleviating interactions.

SUBMITTER: Collins SR

PROVIDER: S-EPMC1779568 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature

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A strategy for extracting and analyzing large-scale quantitative epistatic interaction data.

Collins Sean R SR Schuldiner Maya M Krogan Nevan J NJ Weissman Jonathan S JS

Genome biology 20060101 7

Recently, approaches have been developed for high-throughput identification of synthetic sick/lethal gene pairs. However, these are only a specific example of the broader phenomenon of epistasis, wherein the presence of one mutation modulates the phenotype of another. We present analysis techniques for generating high-confidence quantitative epistasis scores from measurements made using synthetic genetic array and epistatic miniarray profile (E-MAP) technology, as well as several tools for highe ...[more]

PMID: 16859555

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