@article{1732,
  keywords = {Mutation, Gene Expression Regulation, Fungal, Yeasts, Algorithms, Oligonucleotide Array Sequence Analysis, Genome-Wide Association Study, Genome, Fungal, Mutagenesis, Genetic Fitness, Ultraviolet Rays},
  author = {Anastasia Baryshnikova and Michael Costanzo and Yungil Kim and Huiming Ding and Judice Koh and Kiana Toufighi and Ji-Young Youn and Jiongwen Ou and Bryan-Joseph San Luis and Sunayan Bandyopadhyay and Matthew Hibbs and David Hess and Anne-Claude Gingras and Gary Bader and Olga Troyanskaya and Grant Brown and Brenda Andrews and Charles Boone and Chad Myers},
  title = {Quantitative analysis of fitness and genetic interactions in yeast on a genome scale.},
  abstract = {<p>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.</p>},
  year = {2010},
  journal = {Nat Methods},
  volume = {7},
  pages = {1017-24},
  month = {12/2010},
  language = {eng},
}