1. Tools and strategies for physiological genomics: the Rat Genome Database
- Author
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Weihong Jin, Eric M Schauberger, Susan Bromberg, Cindy Foote, Anne E. Kwitek, Rajni Nigam, Howard J. Jacob, Nataliya Nenasheva, Angela Zuniga-Meyer, Dan Campbell, Jedidiah Mathis, Weiye Wang, Jennifer M. Smith, Mary Shimoyama, Jeff Nie, Jiali Chen, Dean Pasko, Brian Hickmann, Lan Zhao, Wenhua Wu, Norberto B. de la Cruz, Kathy Seiler, Yuan Ji, Peter J. Tonellato, Glenn Harris, Victor Ruotti, Simon N. Twigger, Ronit Y. Slyper, Chunyu Fan, Victoria Petri, Dorothy S. Reilly, and Dawei Li
- Subjects
Comparative genomics ,Genome ,Physiology ,Gene Expression Profiling ,Computational genomics ,Genomics ,Computational biology ,Biology ,Article ,Structural genomics ,Rat Genome Database ,Computational and Statistical Genetics ,Rats ,ComputingMethodologies_PATTERNRECOGNITION ,Databases, Genetic ,Genetics ,Animals ,Cloning, Molecular ,Functional genomics ,Protein Structure Initiative - Abstract
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.
- Published
- 2005