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

Sean R Collins·Maya Schuldiner·Nevan J Krogan·Jonathan S Weissman
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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.

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Epistasis, GeneticMutationOligonucleotide Array Sequence AnalysisPhenotypeJournal ArticleResearch Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov't

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Sean R Collins, Maya Schuldiner, Nevan J Krogan, Jonathan S Weissman. 2006. A strategy for extracting and analyzing large-scale quantitative epistatic interaction data.. https://doi.org/10.1186/gb-2006-7-7-r63

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