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Nucleic Acids Research 2006 34(Database Issue):D535-D539; doi:10.1093/nar/gkj109
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Nucleic Acids Research, 2006, Vol. 34, Database issue D535-D539
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org


Article

BioGRID: a general repository for interaction datasets

Chris Stark, Bobby-Joe Breitkreutz1, Teresa Reguly1, Lorrie Boucher1,2, Ashton Breitkreutz1 and Mike Tyers1,2,*

Ontario Cancer Institute, Princess Margaret Hospital 610 University Avenue, Toronto, Ontario, Canada M5G 2M9 1Samuel Lunenfeld Research Institute, Mount Sinai Hospital Toronto, Ontario, Canada M5G 1X5 2Department of Medical Genetics and Microbiology, University of Toronto Toronto, Ontario, Canada M5S 1A8

*To whom correspondence should be addressed. Tel: +416 586 8371; Fax: +416 586 8869; Email: tyers{at}mshri.on.ca

Received September 23, 2005. Revised October 17, 2005. Accepted October 17, 2005.

Access to unified datasets of protein and genetic interactions is critical for interrogation of gene/protein function and analysis of global network properties. BioGRID is a freely accessible database of physical and genetic interactions available at http://www.thebiogrid.org. BioGRID release version 2.0 includes >116 000 interactions from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Homo sapiens. Over 30 000 interactions have recently been added from 5778 sources through exhaustive curation of the Saccharomyces cerevisiae primary literature. An internally hyper-linked web interface allows for rapid search and retrieval of interaction data. Full or user-defined datasets are freely downloadable as tab-delimited text files and PSI-MI XML. Pre-computed graphical layouts of interactions are available in a variety of file formats. User-customized graphs with embedded protein, gene and interaction attributes can be constructed with a visualization system called Osprey that is dynamically linked to the BioGRID.


The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors


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R. N. Woolstencroft, T. H. Beilharz, M. A. Cook, T. Preiss, D. Durocher, and M. Tyers
Ccr4 contributes to tolerance of replication stress through control of CRT1 mRNA poly(A) tail length
J. Cell Sci., December 15, 2006; 119(24): 5178 - 5192.
[Abstract] [Full Text] [PDF]


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GeneticsHome page
D. Blake, B. Luke, P. Kanellis, P. Jorgensen, T. Goh, S. Penfold, B.-J. Breitkreutz, D. Durocher, M. Peter, and M. Tyers
The F-Box Protein Dia2 Overcomes Replication Impedance to Promote Genome Stability in Saccharomyces cerevisiae
Genetics, December 1, 2006; 174(4): 1709 - 1727.
[Abstract] [Full Text] [PDF]


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Mol Biol EvolHome page
L. Li, Y. Huang, X. Xia, and Z. Sun
Preferential Duplication in the Sparse Part of Yeast Protein Interaction Network
Mol. Biol. Evol., December 1, 2006; 23(12): 2467 - 2473.
[Abstract] [Full Text] [PDF]



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