Ulitsky I, et al. (2008) From E-MAPs to module maps: dissecting quantitative genetic interactions using physical interactions. Mol Syst Biol 4:209
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.
|Status: Published||Type: Journal Article | Research Support, Non-U.S. Gov't||PubMed ID: 18628749|
Topics addressed in this paper
Number of different genes curated to this paper: 14
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|Topics||Topics not linked to Genes||Genes (#1 - 10 )|
|Topics||Genes (#11 - 14 )|