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Physiol. Genomics 23: 246-256, 2005. First published August 16, 2005; doi:10.1152/physiolgenomics.00040.2005 Free Article
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Received 18 February 2005; accepted in final form 8 August 2005.
Physiological Genomics 23:246-256 (2005)
American Physiological Society © 2005 American Physiological Society

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Tools and strategies for physiological genomics: the Rat Genome Database

Simon N. Twigger1,2, Dean Pasko1, Jeff Nie1, Mary Shimoyama1, Susan Bromberg1, Dan Campbell1, Jiali Chen1, Norberto dela Cruz1, Chunyu Fan1, Cindy Foote1, Glenn Harris1, Brian Hickmann1, Yuan Ji1, Weihong Jin1, Dawei Li1, Jedidiah Mathis1, Nataliya Nenasheva1, Rajni Nigam1, Victoria Petri1, Dorothy Reilly1, Victor Ruotti1, Eric Schauberger1, Kathy Seiler1, Ronit Slyper1, Jennifer Smith1, Weiye Wang1, Wenhua Wu1, Lan Zhao1, Angela Zuniga-Meyer1, Peter J. Tonellato1,2, Anne E. Kwitek1,2 and Howard J. Jacob1,2,3

1 Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 2 Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin 3 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin

The broad goal of physiological genomics research is to link genes to their functions using appropriate experimental and computational techniques. Modern genomics experiments enable the generation of vast quantities of data, and interpretation of this data requires the integration of information derived from many diverse sources. Computational biology and bioinformatics offer the ability to manage and channel this information torrent. The Rat Genome Database (RGD; http://rgd.mcw.edu) has developed computational tools and strategies specifically supporting the goal of linking genes to their functional roles in rat and, using comparative genomics, to human and mouse. We present an overview of the database with a focus on these unique computational tools and describe strategies for the use of these resources in the area of physiological genomics.

ontologies; comparative genomics; model organism; bioinformatics; physiological genomics




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