Baryshnikova A~Myers CL, 2010

Pubmed ID 21076421
Title Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.
Authors Anastasia Baryshnikova, Michael Costanzo, Yungil Kim, Huiming Ding, Judice Koh, Kiana Toufighi, Ji-Young Youn, Jiongwen Ou, Bryan-Joseph San Luis, Sunayan Bandyopadhyay, Matthew Hibbs, David Hess, Anne-Claude Gingras, Gary D Bader, Olga G Troyanskaya, Grant W Brown, Brenda Andrews, Charles Boone, Chad L Myers
Abstract Global quantitative analysis of genetic interactions is a powerful approach for deciphering the roles of genes and mapping functional relationships among pathways. Using colony size as a proxy for fitness, we developed a method for measuring fitness-based genetic interactions from high-density arrays of yeast double mutants generated by synthetic genetic array (SGA) analysis. We identified several experimental sources of systematic variation and developed normalization strategies to obtain accurate single- and double-mutant fitness measurements, which rival the accuracy of other high-resolution studies. We applied the SGA score to examine the relationship between physical and genetic interaction networks, and we found that positive genetic interactions connect across functionally distinct protein complexes revealing a network of genetic suppression among loss-of-function alleles.
Citation Nat. Methods 2010; 7:1017-24


Download the list of datasets
Paper Phenotype Condition Medium Collection Tested mutants Data Details
Baryshnikova A~Myers CL, 2010 growth (colony size) standard SGA final selection medium hap a/hap alpha 4,602 Quantitative

Curation history

Tested strains

May 23, 2014 Ready to load.
Nov. 24, 2014 Loaded.


May 23, 2014 Ready to load.
Nov. 24, 2014 Loaded.