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.
Collins, S. R., Schuldiner, M., Krogan, N. J., & Weissman, J. S. (2006). A strategy for extracting and analyzing large-scale quantitative epistatic interaction data. Genome Biology, 7(7), R63. https://doi.org/10.1186/gb-2006-7-7-r63