A web-accessible database for visualizing and mining the global yeast genetic interaction network

Matej Usaj, Yizhao Tan, Wen Wang, Benjamin VanderSluis, Albert Zou, Chad L. Myers, Michael Costanzo, Brenda Andrews, Charles Boone

Research output: Contribution to journalArticlepeer-review

66 Scopus citations


Providing access to quantitative genomic data is key to ensure large-scale data validation and promote new discoveries. serves as a central repository for storing and analyzing quantitative genetic interaction data produced by genome-scale Synthetic Genetic Array (SGA) experiments with the budding yeast Saccharomyces cerevisiae. In particular, allows users to easily access, visualize, explore, and functionally annotate genetic interactions, or to extract and reorganize subnetworks, using data-driven network layouts in an intuitive and interactive manner.

Original languageEnglish (US)
Pages (from-to)1539-1549
Number of pages11
JournalG3: Genes, Genomes, Genetics
Issue number5
StatePublished - May 1 2017

Bibliographical note

Funding Information:
We thank A. Baryshnikova, D. Botstein, and members of the Andrews, Boone, and Myers labs for helpful discussions and critical comments. This work was supported by the National Institutes of Health (R01HG005853 to C.B., B.A., and C.L.M., and R01HG005084 to C.L.M.), the Canadian Institutes of Health Research (FDN-143264 and FDN-143265 to C.B. and B.A.), and the National Science Foundation (DBI\0953881 to C.L.M.). B.A., C.B., and C.L.M. are Senior Fellows in the Genetic Networks program of the Canadian Institute for Advanced Research, and C.B. is co-Director of the Program.

Publisher Copyright:
© 2017 Usaj et al.


  • Genetic interactions
  • Genetic network
  • Synthetic genetic array SGA
  • Yeast genetics


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