生理基因组学的工具与策略：大鼠基因组数据库
Tools and strategies for physiological genomics: the Rat Genome Database.
作者信息
Twigger Simon N, Pasko Dean, Nie Jeff, Shimoyama Mary, Bromberg Susan, Campbell Dan, Chen Jiali, dela Cruz Norberto, Fan Chunyu, Foote Cindy, Harris Glenn, Hickmann Brian, Ji Yuan, Jin Weihong, Li Dawei, Mathis Jedidiah, Nenasheva Nataliya, Nigam Rajni, Petri Victoria, Reilly Dorothy, Ruotti Victor, Schauberger Eric, Seiler Kathy, Slyper Ronit, Smith Jennifer, Wang Weiye, Wu Wenhua, Zhao Lan, Zuniga-Meyer Angela, Tonellato Peter J, Kwitek Anne E, Jacob Howard J
机构信息
Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
出版信息
Physiol Genomics. 2005 Oct 17;23(2):246-56. doi: 10.1152/physiolgenomics.00040.2005. Epub 2005 Aug 16.
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.
生理基因组学研究的广泛目标是运用适当的实验和计算技术，将基因与其功能联系起来。现代基因组学实验能够产生海量数据，而对这些数据的解读需要整合来自许多不同来源的信息。计算生物学和生物信息学提供了管理和疏导这股信息洪流的能力。大鼠基因组数据库（RGD；http://rgd.mcw.edu）已经开发出专门支持将基因与其在大鼠中的功能作用联系起来这一目标的计算工具和策略，并利用比较基因组学将其与人类和小鼠联系起来。我们将概述该数据库，重点介绍这些独特的计算工具，并描述在生理基因组学领域使用这些资源的策略。
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