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Physiol. Genomics (August 16, 2005). doi:10.1152/physiolgenomics.00040.2005 Free Article
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Submitted on February 18, 2005
Accepted on August 8, 2005

Tools and Strategies for Physiological Genomics - The Rat Genome Database

Simon N Twigger1*, Dean Pasko2, Jeff Nie2, Mary Shimoyama2, Susan Bromberg2, Dan Campbell2, Jiali Chen2, Norberto dela Cruz2, Chunyu Fan2, Cindy Foote2, Glenn Harris2, Brian Hickmann2, Yuan Ji2, Weihong Jin2, Dawei Li2, Jedidiah Mathis2, Nataliya Nenasheva2, Rajni Nigam2, Victoria Petri2, Dorothy Reilly2, Victor Ruotti2, Eric Schauberger2, Kathy Seiler2, Ronit Slyper2, Jennifer Smith2, Weiye Wang2, Wenhua Wu2, Lan Zhao2, Angela Zuniga-Meyer2, Peter J Tonellato1, Anne E Kwitek1, and Howard J Jacob3

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

* To whom correspondence should be addressed. E-mail: simont{at}mcw.edu.

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 (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.




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