PMID:16859555
| Citation |
Collins, SR, Schuldiner, M, Krogan, NJ and Weissman, JS (2006) A strategy for extracting and analyzing large-scale quantitative epistatic interaction data. Genome Biol. 7:R63 |
|---|---|
| Abstract |
Recently, approaches have been developed for high-throughput identification of synthetic sick/lethal gene pairs. However, these are only a specific example of the broader phenomenon of epistasis, wherein the presence of one mutation modulates the phenotype of another. We present analysis techniques for generating high-confidence quantitative epistasis scores from measurements made using synthetic genetic array and epistatic miniarray profile (E-MAP) technology, as well as several tools for higher-level analysis of the resulting data that are greatly enhanced by the quantitative score and detection of alleviating interactions. |
| Links |
PubMed PMC1779568 Online version:10.1186/gb-2006-7-7-r63 |
| Keywords |
Epistasis, Genetic; Mutation; Oligonucleotide Array Sequence Analysis; Phenotype |
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