Nucleic Acids Research Advance Access originally published online on December 6, 2006
Nucleic Acids Research 2007 35(Database issue):D658-D662; doi:10.1093/nar/gkl988
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Nucleic Acids Research, 2007, Vol. 35, Database issue D658-D662
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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The Rat Genome Database, update 2007—Easing the path from disease to data and back again
1 Department of Physiology, Medical College of Wisconsin Milwaukee, Wisconsin, USA 2 Human and Molecular Genetics Center, Medical College of Wisconsin Milwaukee, Wisconsin, USA
*To whom correspondence should be addressed at 8701, Watertown Plank Road, Milwaukee, Wisconsin, USA. Tel: +1 414 456 8802; Fax: +1 414 456 6595; Email: simont{at}mcw.edu
Received September 15, 2006. Accepted October 24, 2006.
The Rat Genome Database (RGD, http://rgd.mcw.edu) is one of the core resources for rat genomics and recent developments have focused on providing support for disease-based research using the rat model. Recognizing the importance of the rat as a disease model we have employed targeted curation strategies to curate genes, QTL and strain data for neurological and cardiovascular disease areas. This work has centered on rat but also includes data for mouse and human to create ‘disease portals’ that provide a unified view of the genes, QTL and strain models for these diseases across the three species. The disease curation efforts combined with normal curation activities have served to greatly increase the content of the database, particularly for biological information, including gene ontology, disease, pathway and phenotype ontology annotations. In addition to improving the features and database content, community outreach has been expanded to demonstrate how investigators can leverage the resources at RGD to facilitate their research and to elicit suggestions and needs for future developments. We have published a number of papers that provide additional information on the ontology annotations and the tools at RGD for data mining and analysis to better enable researchers to fully utilize the database.
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