PropertyValue
?:abstract
  • Systems biology involves network-oriented, computational approaches to modeling biological systems through analysis of big biological data. To contribute maximally to scientific progress, big biological data should be FAIR: findable, accessible, interoperable and reusable Here, we describe high-throughput sequencing data that characterize the vast diversity of B- and T-cell clones comprising the adaptive immune system (AIRR-seq data) and its contribution to our understanding of COVID-19. We describe the accomplishments of the “adaptive immune receptor repertoire” (AIRR) Community, a grass-roots network of interdisciplinary laboratory scientists, bioinformaticists, and policy wonks, in creating and publishing standards, software and repositories for AIRR-seq data based on the FAIR principles.
is ?:annotates of
?:creator
?:doi
  • 10.1016/j.coisb.2020.10.001
?:doi
?:journal
  • Curr_Opin_Syst_Biol
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/4656a6bfe4d750ff403d3f76e64bf0e990375ada.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7547575.xml.json
?:pmcid
?:pmid
?:pmid
  • 33073065.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Elsevier; Medline; PMC
?:title
  • Ms for Current Opinion in Systems Biology Special Issue on Systems Immunology The AIRR Community as a model for FAIR stewardship of big immunology data
?:type
?:year
  • 2020-10-10

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