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The Sequence Read Archive: a decade more of explosive growth.
Katz, Kenneth; Shutov, Oleg; Lapoint, Richard; Kimelman, Michael; Brister, J Rodney; O'Sullivan, Christopher.
Afiliación
  • Katz K; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • Shutov O; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • Lapoint R; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • Kimelman M; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • Brister JR; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • O'Sullivan C; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Nucleic Acids Res ; 50(D1): D387-D390, 2022 01 07.
Article en En | MEDLINE | ID: mdl-34850094
ABSTRACT
The Sequence Read Archive (SRA, https//www.ncbi.nlm.nih.gov/sra/) stores raw sequencing data and alignment information to enhance reproducibility and facilitate new discoveries through data analysis. Here we note changes in storage designed to increase access and highlight analyses that augment metadata with taxonomic insight to help users select data. In addition, we present three unanticipated applications of taxonomic analysis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Virus / Programas Informáticos / Bases de Datos Genéticas / Metadatos Idioma: En Revista: Nucleic Acids Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacterias / Virus / Programas Informáticos / Bases de Datos Genéticas / Metadatos Idioma: En Revista: Nucleic Acids Res Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos