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The GA4GH Variation Representation Specification: A computational framework for variation representation and federated identification.
Wagner, Alex H; Babb, Lawrence; Alterovitz, Gil; Baudis, Michael; Brush, Matthew; Cameron, Daniel L; Cline, Melissa; Griffith, Malachi; Griffith, Obi L; Hunt, Sarah E; Kreda, David; Lee, Jennifer M; Li, Stephanie; Lopez, Javier; Moyer, Eric; Nelson, Tristan; Patel, Ronak Y; Riehle, Kevin; Robinson, Peter N; Rynearson, Shawn; Schuilenburg, Helen; Tsukanov, Kirill; Walsh, Brian; Konopko, Melissa; Rehm, Heidi L; Yates, Andrew D; Freimuth, Robert R; Hart, Reece K.
Afiliación
  • Wagner AH; Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH 43210, USA.
  • Babb L; The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH 43215, USA.
  • Alterovitz G; Lead Contact.
  • Baudis M; Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Brush M; Harvard Medical School, Boston, MA 02115, USA.
  • Cameron DL; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
  • Cline M; University of Zurich and Swiss Institute of Bioinformatics, Zurich, Switzerland.
  • Griffith M; Oregon Health & Science University, Portland, OR 97239, USA.
  • Griffith OL; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia.
  • Hunt SE; Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia.
  • Kreda D; UC Santa Cruz Genomics Institute, Santa Cruz, CA 95060, USA.
  • Lee JM; Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Li S; Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Lopez J; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Moyer E; Department of Biomedical Informatics, Harvard Medical School, Boston MA 02115, USA.
  • Nelson T; Essex Management LLC and National Cancer Institute, Rockville, MD 20850, USA.
  • Patel RY; The Global Alliance for Genomics and Health, Toronto, ON, Canada.
  • Riehle K; Genomics England, London EC1M 6BQ, UK.
  • Robinson PN; National Center for Biotechnology Information, National Library of Medicine National Institutes of Health, Bethesda, MD 20894, USA.
  • Rynearson S; Geisinger Health, Danville, PA 17822, USA.
  • Schuilenburg H; Baylor College of Medicine, Houston, TX 77030, USA.
  • Tsukanov K; Baylor College of Medicine, Houston, TX 77030, USA.
  • Walsh B; Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
  • Konopko M; Utah Center for Genetic Discovery, University of Utah, Salt Lake City, UT 84112, USA.
  • Rehm HL; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Yates AD; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Freimuth RR; Oregon Health & Science University, Portland, OR 97239, USA.
  • Hart RK; The Global Alliance for Genomics and Health, Toronto, ON, Canada.
Cell Genom ; 1(2)2021 Nov 10.
Article en En | MEDLINE | ID: mdl-35311178
ABSTRACT
Maximizing the personal, public, research, and clinical value of genomic information will require the reliable exchange of genetic variation data. We report here the Variation Representation Specification (VRS, pronounced "verse"), an extensible framework for the computable representation of variation that complements contemporary human-readable and flat file standards for genomic variation representation. VRS provides semantically precise representations of variation and leverages this design to enable federated identification of biomolecular variation with globally consistent and unique computed identifiers. The VRS framework includes a terminology and information model, machine-readable schema, data sharing conventions, and a reference implementation, each of which is intended to be broadly useful and freely available for community use. VRS was 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).

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Cell Genom Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Cell Genom Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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