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Nucleic Acids Res. 2016 Mar 18;44(5):e50. doi: 10.1093/nar/gkv1284. Epub 2015 Nov 23.

Systematic identification and correction of annotation errors in the genetic interaction map of Saccharomyces cerevisiae.

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Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv 69978, Israel
Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel


The yeast mutant collections are a fundamental tool in deciphering genomic organization and function. Over the last decade, they have been used for the systematic exploration of ∼6 000 000 double gene mutants, identifying and cataloging genetic interactions among them. Here we studied the extent to which these data are prone to neighboring gene effects (NGEs), a phenomenon by which the deletion of a gene affects the expression of adjacent genes along the genome. Analyzing ∼90,000 negative genetic interactions observed to date, we found that more than 10% of them are incorrectly annotated due to NGEs. We developed a novel algorithm, GINGER, to identify and correct erroneous interaction annotations. We validated the algorithm using a comparative analysis of interactions from Schizosaccharomyces pombe. We further showed that our predictions are significantly more concordant with diverse biological data compared to their mis-annotated counterparts. Our work uncovered about 9500 new genetic interactions in yeast.

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