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The Year of the Rat: The Rat Genome Database at 20: a multi-species knowledgebase and analysis platform
Author(s) -
Jennifer R. Smith,
G. Thomas Hayman,
ShurJen Wang,
Stanley J. F. Laulederkind,
Matthew Hoffman,
Mary L. Kaldunski,
Monika Tutaj,
Jyothi Thota,
Harika S Nalabolu,
Santoshi L R Ellanki,
Marek Tutaj,
Jeffrey L De Pons,
Anne E. Kwitek,
Melinda R. Dwinell,
Mary Shimoyama
Publication year - 2019
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkz1041
Subject(s) - biology , suite , computational biology , genome , genomics , disease , translational research , data integration , bioinformatics , data science , database , computer science , genetics , gene , medicine , microbiology and biotechnology , history , archaeology
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.

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