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Genome Biol. 2009;10(12):R140. Epub 2009 Dec 10.

Towards accurate imputation of quantitative genetic interactions.

Ulitsky I, Krogan NJ, Shamir R.

Source

Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel. ulitsky@wi.mit.edu

Abstract

Recent technological breakthroughs have enabled high-throughput quantitative measurements of hundreds of thousands of genetic interactions among hundreds of genes in Saccharomyces cerevisiae. However, these assays often fail to measure the genetic interactions among up to 40% of the studied gene pairs. Here we present a novel method, which combines genetic interaction data together with diverse genomic data, to quantitatively impute these missing interactions. We also present data on almost 190,000 novel interactions.

PMID:: 20003301; [PubMed - indexed for MEDLINE]
PMCID: PMC2812947

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Publication Types, MeSH Terms, Grant Support

Publication Types

Research Support, Non-U.S. Gov't

MeSH Terms

Grant Support

R01 GM084448-04/GM/NIGMS NIH HHS/United States

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