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 receptor repertoire (AIRR-seq data) and its contribution to our understanding of COVID-19 (coronavirus disease 19). We describe the accomplishments of the AIRR community, a grass-roots network of interdisciplinary laboratory scientists, bioinformaticians, and policy wonks, in creating and publishing standards, software and repositories for AIRR-seq data based on the FAIR principles.
?:creator
?:journal
  • Curr_Opin_Syst_Biol
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data
?:type
?:who_covidence_id
  • #987381
?:year
  • 2020

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