Work

Towards accurate imputation of quantitative genetic interactions

Year: 2009

Type: article

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.

Source: Genome biology

DOI: 10.1186/gb-2009-10-12-r140

Authors: Igor Ulitsky, Nevan J Krogan, Ron Shamir

Institutions: Tel Aviv University, Whitehead Institute for Biomedical Research, University of California, San Francisco

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $5,490

Funders: Israel Science Foundation, Tel Aviv University, National Institute of General Medical Sciences