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Báo cáo y học: "Towards accurate imputation of quantitative genetic interactions"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Towards accurate imputation of quantitative genetic interactions. | Open Access Method Towards accurate imputation of quantitative genetic interactions Igor Ulitsky Nevan J Krogan and Ron Shamir Addresses Blavatnik School of Computer Science Tel Aviv University Tel Aviv 69978 Israel. Department of Cellular and Molecular Pharmacology University of California San Francisco San Francisco CA 94158 USA. Current address Whitehead Institute for Biomedical Research 9 Cambridge Center Cambridge MA 02142 USA. Correspondence Ron Shamir. Email rshamir@tau.ac.il Published 10 December 2009 Genome Biology 2009 10 Rl40 doi l0.ll86 gb-2009-l0-l2-rl40 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2009 l0 l2 Rl40 Received l September 2009 Revised 8 November 2009 Accepted l0 December 2009 2009 Ulitsky et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited 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 l90 000 novel interactions. Background Understanding the interactions between genes and proteins is essential for elucidating their function. Genetic interactions GIs describe the phenotype of a double knock-out in comparison to the phenotypes of single mutants and they can be crudely classified into positive alleviating neutral and negative aggravating interactions 1 2 . In a negative GI the fitness .