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鼠年:20 年来的鼠基因组数据库:一个多物种知识库和分析平台。

The Year of the Rat: The Rat Genome Database at 20: a multi-species knowledgebase and analysis platform.

机构信息

Rat Genome Database, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Genomic Sciences and Precision Medicine Center and Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

出版信息

Nucleic Acids Res. 2020 Jan 8;48(D1):D731-D742. doi: 10.1093/nar/gkz1041.

Abstract

Formed in late 1999, the Rat Genome Database (RGD, https://rgd.mcw.edu) will be 20 in 2020, the Year of the Rat. Because the laboratory rat, Rattus norvegicus, has been used as a model for complex human diseases such as cardiovascular disease, diabetes, cancer, neurological disorders and arthritis, among others, for >150 years, RGD has always been disease-focused and committed to providing data and tools for researchers doing comparative genomics and translational studies. At its inception, before the sequencing of the rat genome, RGD started with only a few data types localized on genetic and radiation hybrid (RH) maps and offered only a few tools for querying and consolidating that data. Since that time, RGD has expanded to include a wealth of structured and standardized genetic, genomic, phenotypic, and disease-related data for eight species, and a suite of innovative tools for querying, analyzing and visualizing this data. This article provides an overview of recent substantial additions and improvements to RGD's data and tools that can assist researchers in finding and utilizing the data they need, whether their goal is to develop new precision models of disease or to more fully explore emerging details within a system or across multiple systems.

摘要

成立于 1999 年末的大鼠基因组数据库(RGD,https://rgd.mcw.edu)将于 2020 年,鼠年,迎来其 20 岁的生日。由于实验室大鼠(Rattus norvegicus)被用于模拟多种复杂的人类疾病,如心血管疾病、糖尿病、癌症、神经紊乱和关节炎等,已经超过 150 年。因此,RGD 一直以疾病为重点,致力于为从事比较基因组学和转化研究的研究人员提供数据和工具。在成立之初,也就是大鼠基因组测序之前,RGD 仅拥有少数几种定位于遗传和辐射杂种(RH)图谱上的本地数据类型,并仅提供了一些用于查询和整合这些数据的工具。从那时起,RGD 已经扩展到包括了 8 个物种的丰富的结构化和标准化的遗传、基因组、表型和疾病相关数据,以及一套用于查询、分析和可视化这些数据的创新工具。本文概述了 RGD 数据和工具的最近的重大新增和改进,这将有助于研究人员查找和利用他们所需的数据,无论他们的目标是开发新的疾病精准模型,还是更全面地探索一个或多个系统内的新出现的细节。

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