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Nucleic Acids Research 2005 33(Database Issue):D485-D491; doi:10.1093/nar/gki050
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Nucleic Acids Research, 2005, Vol. 33, Database issue D485-D491
© 2005, the authors
Nucleic Acids Research, Vol. 33, Database issue © Oxford University Press 2005; all rights reserved

The Rat Genome Database (RGD): developments towards a phenome database

Norberto de la Cruz1, Susan Bromberg1, Dean Pasko1, Mary Shimoyama1, Simon Twigger1,2, Jiali Chen1, Chin-Fu Chen4, Chunyu Fan1, Cindy Foote1, Gopal R. Gopinath3, Glenn Harris1, Aubrey Hughes5, Yuan Ji1, Weihong Jin1, Dawei Li1, Jedidiah Mathis1, Natalya Nenasheva1, Jeff Nie1, Rajni Nigam1, Victoria Petri1, Dorothy Reilly1, Weiye Wang1, Wenhua Wu1, Angela Zuniga-Meyer1, Lan Zhao1, Anne Kwitek1,2, Peter Tonellato1,2 and Howard Jacob1,2,*

1 Human and Molecular Genetics Center and 2 Department of Physiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53213, USA, 3 Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA, 4 Department of Genetics, Biochemistry and Life Science Studies, Clemson University, 100 Jordan Hall, Clemson, SC 29634, USA and 5 Deakin University, 221 Burwood Highway, Burwood, VIC 3125, Australia

* To whom correspondence should be addressed. Tel: +1 414 456 4887; Fax: +1 414 456 6516; Email: jacob{at}mcw.edu

Received September 15, 2004; Revised and Accepted September 30, 2004

The Rat Genome Database (RGD) (http://rgd.mcw.edu) aims to meet the needs of its community by providing genetic and genomic infrastructure while also annotating the strengths of rat research: biochemistry, nutrition, pharmacology and physiology. Here, we report on RGD's development towards creating a phenome database. Recent developments can be categorized into three groups. (i) Improved data collection and integration to match increased volume and biological scope of research. (ii) Knowledge representation augmented by the implementation of a new ontology and annotation system. (iii) The addition of quantitative trait loci data, from rat, mouse and human to our advanced comparative genomics tools, as well as the creation of new, and enhancement of existing, tools to enable users to efficiently browse and survey research data. The emphasis is on helping researchers find genes responsible for disease through the use of rat models. These improvements, combined with the genomic sequence of the rat, have led to a successful year at RGD with over two million page accesses that represent an over 4-fold increase in a year. Future plans call for increased annotation of biological information on the rat elucidated through its use as a model for human pathobiology. The continued development of toolsets will facilitate integration of these data into the context of rat genomic sequence, as well as allow comparisons of biological and genomic data with the human genomic sequence and of an increasing number of organisms.


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