DRYGIN: A database of quantitative genetic interaction networks in yeast

Judice L Y Koh, Huiming Ding, Michael Costanzo, Anastasia Baryshnikova, Kiana Toufighi, Gary D. Bader, Chad L. Myers, Brenda J. Andrews, Charles Boone

Research output: Contribution to journalArticlepeer-review

74 Scopus citations


Genetic interactions are highly informative for deciphering the underlying functional principles that govern how genes control cell processes. Recent developments in Synthetic Genetic Array (SGA) analysis enable the mapping of quantitative genetic interactions on a genome-wide scale. To facilitate access to this resource, which will ultimately represent a complete genetic interaction network for a eukaryotic cell, we developed DRYGIN (Data Repository of Yeast Genetic Interactions)-a web database system that aims at providing a central platform for yeast genetic network analysis and visualization. In addition to providing an interface for searching the SGA genetic interactions, DRYGIN also integrates other data sources, in order to associate the genetic interactions with pathway information, protein complexes, other binary genetic and physical interactions, and Gene Ontology functional annotation. DRYGIN version 1.0 currently holds more than 5.4 million measurements of genetic interacting pairs involving ~4500 genes, and is available at http://drygin.ccbr.utoronto.ca

Original languageEnglish (US)
Article numbergkp820
Pages (from-to)D502-D507
JournalNucleic acids research
Issue numberSUPPL.1
StatePublished - Oct 30 2009


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