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Towards accurate imputation of quantitative genetic interactions

Igor Ulitsky13, Nevan J Krogan2 and Ron Shamir1*

Author Affiliations

1 Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel

2 Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA

3 Current address: Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA

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Genome Biology 2009, 10:R140  doi:10.1186/gb-2009-10-12-r140

Published: 10 December 2009

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.