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BioinformaticsCell Genomics
Peer-reviewed journal article

The GA4GH Variation Representation Specification (VRS): a Computational Framework for the Precise Representation and Federated Identification of Molecular Variation

Alex Handler WagneriD, Lawrence J. BabbiD, Gil AlterovitziD, Michael BaudisiD, Matthew BrushiD, Daniel CameroniD, Melissa ClineiD, Malachi GriffithiD, Obi L. GriffithiD, Sarah E HuntiD, David KredaiD, Jennifer LeeiD, Stephanie LiiD, Javier Lopez, Eric MoyeriD, Tristan H. NelsoniD, Ronak Y. PateliD, Kevin P. RiehleiD, Peter N. RobinsoniD, Shawn G. Rynearson, Helen SchuilenburgiD, Kirill TsukanoviD, Brian WalshiD, Melissa A. KonopkoiD, Heidi L. RehmiD, , Reece K. HartiD

Abstract

Maximizing the personal, public, research, and clinical value of genomic information will require that clinicians, researchers, and testing laboratories exchange genetic variation data reliably. Developed by a partnership among national information resource providers, public initiatives, and diagnostic testing laboratories under the auspices of the Global Alliance for Genomics and Health (GA4GH), the Variation Representation Specification (VRS, pronounced "verse") is an extensible framework for the semantically precise and computable representation of variation that complements contemporary human-readable and flat file standards for variation representation. VRS objects are designed to be semantically precise representations of variation, and leverage this design to enable unique, federated identification of molecular variation. We describe the components of this framework, including the terminology and information model, schema, data sharing conventions, and a reference implementation, each of which is intended to be broadly useful and freely available for community use. The specification, documentation, examples, and community links are available at https://vrs.ga4gh.org/.

PDFDOI

02 /Specification & Classification

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62
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top 3%

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