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

被引：113

作者：

Smith, Jennifer R. ^{[1
]}

Hayman, G. Thomas ^{[1
]}

Wang, Shur-Jen ^{[1
]}

Laulederkind, Stanley J. F. ^{[1
]}

Hoffman, Matthew J. ^{[1
,2
,3
]}

Kaldunski, Mary L. ^{[1
]}

Tutaj, Monika ^{[1
]}

Thota, Jyothi ^{[1
]}

Nalabolu, Harika S. ^{[1
]}

Ellanki, Santoshi L. R. ^{[1
]}

Tutaj, Marek A. ^{[1
]}

De Pons, Jeffrey L. ^{[1
]}

Kwitek, Anne E. ^{[2
,3
]}

Dwinell, Melinda R. ^{[2
,3
]}

Shimoyama, Mary E. ^{[1
]}

机构：

[1] Med Coll Wisconsin, Dept Biomed Engn, Rat Genome Database, Milwaukee, WI 53226 USA

[2] Med Coll Wisconsin, Genom Sci & Precis Med Ctr, Milwaukee, WI 53226 USA

[3] Med Coll Wisconsin, Dept Physiol, Milwaukee, WI 53226 USA

来源：

NUCLEIC ACIDS RESEARCH | 2020年 / 48卷 / D1期

基金：

美国国家卫生研究院;

关键词：

ANIMAL-MODELS; DISEASE; MUTATION; ONTOLOGIES; PATHOLOGY; PROTEIN; SYSTEM; LOCI; PIGS;

D O I：

10.1093/nar/gkz1041

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：D731 / D742

页数：12

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