2022 updates to the Rat Genome Database: a Findable, Accessible, Interoperable, and Reusable (FAIR) resource

Author:

Vedi Mahima1ORCID,Smith Jennifer R1ORCID,Thomas Hayman G1ORCID,Tutaj Monika1ORCID,Brodie Kent C2ORCID,De Pons Jeffrey L1ORCID,Demos Wendy M1ORCID,Gibson Adam C1ORCID,Kaldunski Mary L1ORCID,Lamers Logan1ORCID,Laulederkind Stanley J F1ORCID,Thota Jyothi1ORCID,Thorat Ketaki1ORCID,Tutaj Marek A1ORCID,Wang Shur-Jen1ORCID,Zacher Stacy3ORCID,Dwinell Melinda R1ORCID,Kwitek Anne E14ORCID

Affiliation:

1. The Rat Genome Database, Department of Physiology, Medical College of Wisconsin , Milwaukee, WI 53226 , USA

2. Clinical and Translational Science Institute, Medical College of Wisconsin , Milwaukee, WI 53226 , USA

3. Finance and Administration, Medical College of Wisconsin , Milwaukee, WI 53226 , USA

4. Department of Biomedical Engineering, Medical College of Wisconsin , Milwaukee, WI 53226 , USA

Abstract

Abstract The Rat Genome Database (RGD, https://rgd.mcw.edu) has evolved from simply a resource for rat genetic markers, maps, and genes, by adding multiple genomic data types and extensive disease and phenotype annotations and developing tools to effectively mine, analyze, and visualize the available data, to empower investigators in their hypothesis-driven research. Leveraging its robust and flexible infrastructure, RGD has added data for human and eight other model organisms (mouse, 13-lined ground squirrel, chinchilla, naked mole-rat, dog, pig, African green monkey/vervet, and bonobo) besides rat to enhance its translational aspect. This article presents an overview of the database with the most recent additions to RGD’s genome, variant, and quantitative phenotype data. We also briefly introduce Virtual Comparative Map (VCMap), an updated tool that explores synteny between species as an improvement to RGD’s suite of tools, followed by a discussion regarding the refinements to the existing PhenoMiner tool that assists researchers in finding and comparing quantitative data across rat strains. Collectively, RGD focuses on providing a continuously improving, consistent, and high-quality data resource for researchers while advancing data reproducibility and fulfilling Findable, Accessible, Interoperable, and Reusable (FAIR) data principles.

Funder

National Heart, Lung, and Blood Institute

National Institutes of Health

National Human Genome Research Institute

Alliance of Genome Resources

Publisher

Oxford University Press (OUP)

Subject

Genetics

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