| Literature DB >> 16106031 |
Simon N Twigger1, Dean Pasko, Jeff Nie, Mary Shimoyama, Susan Bromberg, Dan Campbell, Jiali Chen, Norberto dela Cruz, Chunyu Fan, Cindy Foote, Glenn Harris, Brian Hickmann, Yuan Ji, Weihong Jin, Dawei Li, Jedidiah Mathis, Nataliya Nenasheva, Rajni Nigam, Victoria Petri, Dorothy Reilly, Victor Ruotti, Eric Schauberger, Kathy Seiler, Ronit Slyper, Jennifer Smith, Weiye Wang, Wenhua Wu, Lan Zhao, Angela Zuniga-Meyer, Peter J Tonellato, Anne E Kwitek, Howard J Jacob.
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.Entities:
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Year: 2005 PMID: 16106031 PMCID: PMC4505745 DOI: 10.1152/physiolgenomics.00040.2005
Source DB: PubMed Journal: Physiol Genomics ISSN: 1094-8341 Impact factor: 3.107