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The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data
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-th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547575/ https://www.ncbi.nlm.nih.gov/pubmed/33073065 http://dx.doi.org/10.1016/j.coisb.2020.10.001 |
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author | Scott, Jamie K. Breden, Felix |
author_facet | Scott, Jamie K. Breden, Felix |
author_sort | Scott, Jamie K. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7547575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75475752020-10-13 The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data Scott, Jamie K. Breden, Felix Curr Opin Syst Biol Article 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. Elsevier Ltd. 2020-12 2020-10-10 /pmc/articles/PMC7547575/ /pubmed/33073065 http://dx.doi.org/10.1016/j.coisb.2020.10.001 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Scott, Jamie K. Breden, Felix The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data |
title | The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data |
title_full | The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data |
title_fullStr | The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data |
title_full_unstemmed | The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data |
title_short | The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data |
title_sort | adaptive immune receptor repertoire community as a model for fair stewardship of big immunology data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547575/ https://www.ncbi.nlm.nih.gov/pubmed/33073065 http://dx.doi.org/10.1016/j.coisb.2020.10.001 |
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