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Refget: standardized access to reference sequences.
Yates, Andrew D; Adams, Jeremy; Chaturvedi, Somesh; Davies, Robert M; Laird, Matthew; Leinonen, Rasko; Nag, Rishi; Sheffield, Nathan C; Hofmann, Oliver; Keane, Thomas M.
Afiliación
  • Yates AD; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Adams J; Global Alliance for Genomics and Health.
  • Chaturvedi S; Global Alliance for Genomics and Health.
  • Davies RM; Ontario Institute for Cancer Research, Toronto, ON, Canada.
  • Laird M; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Leinonen R; Google Summer of Code.
  • Nag R; Global Alliance for Genomics and Health.
  • Sheffield NC; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
  • Hofmann O; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
  • Keane TM; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Bioinformatics ; 38(1): 299-300, 2021 12 22.
Article en En | MEDLINE | ID: mdl-34260694
ABSTRACT
MOTIVATION Reference sequences are essential in creating a baseline of knowledge for many common bioinformatics methods, especially those using genomic sequencing.

RESULTS:

We have created refget, a Global Alliance for Genomics and Health API specification to access reference sequences and sub-sequences using an identifier derived from the sequence itself. We present four reference implementations across in-house and cloud infrastructure, a compliance suite and a web report used to ensure specification conformity across implementations. AVAILABILITY AND IMPLEMENTATION The refget specification can be found at https//w3id.org/ga4gh/refget. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido