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Tools and strategies for physiological genomics: the Rat Genome Database

Authors :
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
Dawei Li
Source :
Physiological genomics. 23(2)
Publication Year :
2005

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.

Details

ISSN :
15312267
Volume :
23
Issue :
2
Database :
OpenAIRE
Journal :
Physiological genomics
Accession number :
edsair.doi.dedup.....76d9474ffc632926fd3e141db8270150