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Nucleic Acids Research Advance Access published online on October 30, 2009
Nucleic Acids Research, doi:10.1093/nar/gkp820
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© The Author(s) 2009. Published by Oxford University Press.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Database Issue

DRYGIN: a database of quantitative genetic interaction networks in yeast

Judice L. Y. Koh1,*, Huiming Ding1, Michael Costanzo1, Anastasia Baryshnikova1, Kiana Toufighi1, Gary D. Bader1, Chad L. Myers2, Brenda J. Andrews1 and Charles Boone1,*

1Banting and Best Department of Medical Research and Department of Molecular Genetics, The Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON, Canada M5S 3E1 and 2Department of Computer Science and Engineering, University of Minnesota, 4-192 EE/CS Building, 200 Union Street SE, Minneapolis, MN 55455, USA

*To whom correspondence should be addressed. Tel: +1 416 978 3514; Fax: +1 416 978 8287; Email: judice.koh{at}utoronto.ca

Correspondence may also be addressed to Charles Boone. Email: charlie.boone{at}utoronto.ca

Received August 19, 2009. Accepted September 16, 2009.

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 Resource 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 6 million measurements of genetic interacting pairs involving ~4500 genes, and is available at http://drygin.ccbr.utoronto.ca


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