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The Rat Genome Database (RGD): developments towards a phenome database.

机译:大鼠基因组数据库(RGD):向现象表数据库的发展。

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The Rat Genome Database (RGD) (http://rgd.mcw.edu) aims to meet the needs of its community by providing genetic and genomic infrastructure while also annotating the strengths of rat research: biochemistry, nutrition, pharmacology and physiology. Here, we report on RGD's development towards creating a phenome database. Recent developments can be categorized into three groups. (i) Improved data collection and integration to match increased volume and biological scope of research. (ii) Knowledge representation augmented by the implementation of a new ontology and annotation system. (iii) The addition of quantitative trait loci data, from rat, mouse and human to our advanced comparative genomics tools, as well as the creation of new, and enhancement of existing, tools to enable users to efficiently browse and survey research data. The emphasis is on helping researchers find genes responsible for disease through the use of rat models. These improvements, combined with the genomic sequence of the rat, have led to a successful year at RGD with over two million page accesses that represent an over 4-fold increase in a year. Future plans call for increased annotation of biological information on the rat elucidated through its use as a model for human pathobiology. The continued development of toolsets will facilitate integration of these data into the context of rat genomic sequence, as well as allow comparisons of biological and genomic data with the human genomic sequence and of an increasing number of organisms.
机译:大鼠基因组数据库(RGD)(http://rgd.mcw.edu)旨在通过提供遗传和基因组基础结构来满足其社区的需求,同时还应注意大鼠研究的优势:生物化学,营养,药理学和生理学。在这里,我们报告了RGD在创建表型数据库方面的发展。最近的发展可以分为三类。 (i)改进数据收集和整合,以适应不断增加的研究量和生物学范围。 (ii)通过实施新的本体和注释系统来增强知识表示。 (iii)将来自大鼠,小鼠和人类的定量性状基因座数据添加到我们先进的比较基因组学工具中,以及创建新的工具和增强现有工具,以使用户能够有效地浏览和调查研究数据。重点是通过使用大鼠模型帮助研究人员找到与疾病有关的基因。这些改进,再加上大鼠的基因组序列,在RGD取得了成功的一年,访问量超过200万页,这意味着一年中增长了4倍以上。未来的计划要求增加对大鼠生物学信息的注释,该信息通过将其用作人类病理生物学模型加以阐明。工具集的不断发展将有助于将这些数据整合到大鼠基因组序列中,并允许将生物学和基因组数据与人类基因组序列以及越来越多的生物进行比较。

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