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

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, t...

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Vydáno v:Genetics (Austin) Ročník 224; číslo 1
Hlavní autoři: Vedi, Mahima, Smith, Jennifer R, Thomas Hayman, G, Tutaj, Monika, Brodie, Kent C, De Pons, Jeffrey L, Demos, Wendy M, Gibson, Adam C, Kaldunski, Mary L, Lamers, Logan, Laulederkind, Stanley J F, Thota, Jyothi, Thorat, Ketaki, Tutaj, Marek A, Wang, Shur-Jen, Zacher, Stacy, Dwinell, Melinda R, Kwitek, Anne E
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 04.05.2023
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ISSN:1943-2631, 1943-2631
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Shrnutí: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.
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ISSN:1943-2631
1943-2631
DOI:10.1093/genetics/iyad042