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Mol Syst Biol. 2008;4:209. doi: 10.1038/msb.2008.42. Epub 2008 Jul 15.

From E-MAPs to module maps: dissecting quantitative genetic interactions using physical interactions.

Author information

  • 1School of Computer Science, Tel Aviv University, Ramat Aviv, Israel.

Abstract

Recent technological breakthroughs allow the quantification of hundreds of thousands of genetic interactions (GIs) in Saccharomyces cerevisiae. The interpretation of these data is often difficult, but it can be improved by the joint analysis of GIs along with complementary data types. Here, we describe a novel methodology that integrates genetic and physical interaction data. We use our method to identify a collection of functional modules related to chromosomal biology and to investigate the relations among them. We show how the resulting map of modules provides clues for the elucidation of function both at the level of individual genes and at the level of functional modules.

PMID:
18628749
[PubMed - indexed for MEDLINE]
PMCID:
PMC2516364
Free PMC Article

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