Your browser doesn't support javascript.
loading
AIRR Community Standardized Representations for Annotated Immune Repertoires.
Vander Heiden, Jason Anthony; Marquez, Susanna; Marthandan, Nishanth; Bukhari, Syed Ahmad Chan; Busse, Christian E; Corrie, Brian; Hershberg, Uri; Kleinstein, Steven H; Matsen Iv, Frederick A; Ralph, Duncan K; Rosenfeld, Aaron M; Schramm, Chaim A; Christley, Scott; Laserson, Uri.
Afiliação
  • Vander Heiden JA; Department of Neurology, Yale School of Medicine, New Haven, CT, United States.
  • Marquez S; Department of Pathology, Yale School of Medicine, New Haven, CT, United States.
  • Marthandan N; Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
  • Bukhari SAC; Department of Pathology, Yale School of Medicine, New Haven, CT, United States.
  • Busse CE; Division of B Cell Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Corrie B; Department of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada.
  • Hershberg U; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States.
  • Kleinstein SH; Department of Microbiology and Immunology, College of Medicine, Drexel University, Philadelphia, PA, United States.
  • Matsen Iv FA; Department of Human Biology, Faculty of Sciences, University of Haifa, Haifa, Israel.
  • Ralph DK; Department of Pathology, Yale School of Medicine, New Haven, CT, United States.
  • Rosenfeld AM; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States.
  • Schramm CA; Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
  • Christley S; School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States.
  • Laserson U; Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States.
Front Immunol ; 9: 2206, 2018.
Article em En | MEDLINE | ID: mdl-30323809
ABSTRACT
Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed "adaptive immune receptor repertoire sequencing" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire. In this paper, we describe the work of the AIRR Community's Data Representation Working Group to develop standardized data representations for storing and sharing annotated antibody and T cell receptor data. Our file format emphasizes ease-of-use, accessibility, scalability to large data sets, and a commitment to open and transparent science. It is composed of a tab-delimited format with a specific schema. Several popular repertoire analysis tools and data repositories already utilize this AIRR-seq data format. We hope that others will follow suit in the interest of promoting interoperable standards.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Sequência de Bases / Receptores de Antígenos de Linfócitos T / Disseminação de Informação / Anticorpos Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Sequência de Bases / Receptores de Antígenos de Linfócitos T / Disseminação de Informação / Anticorpos Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos