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Genome Biology

, 13:R123

First Online: 26 December 2012Received: 17 August 2012Revised: 15 November 2012Accepted: 26 December 2012

Abstract

Synthetic genetic arrays have been very effective at measuring genetic interactions in yeast in a high-throughput manner and recently have been expanded to measure quantitative changes in interaction, termed -differential interactions-, across multiple conditions. Here, we present a strategy that leverages statistical information from the experimental design to produce a novel, quantitative differential interaction score, which performs favorably compared to previous differential scores. We also discuss the added utility of differential genetic-similarity in differential network analysis. Our approach is preferred for differential network analysis, and our implementation, written in MATLAB, can be found at http:-chianti.ucsd.edu-~gbean-compute differential scores.m.

AbbreviationsDDRDNA-damage response

MMSmethyl methanesulfonate

PPIprotein-protein interaction.

Electronic supplementary materialThe online version of this article doi:10.1186-gb-2012-13-12-r123 contains supplementary material, which is available to authorized users.

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Author: Gordon J Bean - Trey Ideker

Source: https://link.springer.com/







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