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Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool
The response of the global virus genomics community to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been unprecedented, with significant advances made towards the ‘real-time’ generation and sharing of SARS-CoV-2 genomic data. The rapid growth in virus genome data pro...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344591/ https://www.ncbi.nlm.nih.gov/pubmed/34527285 http://dx.doi.org/10.1093/ve/veab064 |
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author | O’Toole, Áine Scher, Emily Underwood, Anthony Jackson, Ben Hill, Verity McCrone, John T Colquhoun, Rachel Ruis, Chris Abu-Dahab, Khalil Taylor, Ben Yeats, Corin du Plessis, Louis Maloney, Daniel Medd, Nathan Attwood, Stephen W Aanensen, David M Holmes, Edward C Pybus, Oliver G Rambaut, Andrew |
author_facet | O’Toole, Áine Scher, Emily Underwood, Anthony Jackson, Ben Hill, Verity McCrone, John T Colquhoun, Rachel Ruis, Chris Abu-Dahab, Khalil Taylor, Ben Yeats, Corin du Plessis, Louis Maloney, Daniel Medd, Nathan Attwood, Stephen W Aanensen, David M Holmes, Edward C Pybus, Oliver G Rambaut, Andrew |
author_sort | O’Toole, Áine |
collection | PubMed |
description | The response of the global virus genomics community to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been unprecedented, with significant advances made towards the ‘real-time’ generation and sharing of SARS-CoV-2 genomic data. The rapid growth in virus genome data production has necessitated the development of new analytical methods that can deal with orders of magnitude of more genomes than previously available. Here, we present and describe Phylogenetic Assignment of Named Global Outbreak Lineages (pangolin), a computational tool that has been developed to assign the most likely lineage to a given SARS-CoV-2 genome sequence according to the Pango dynamic lineage nomenclature scheme. To date, nearly two million virus genomes have been submitted to the web-application implementation of pangolin, which has facilitated the SARS-CoV-2 genomic epidemiology and provided researchers with access to actionable information about the pandemic’s transmission lineages. |
format | Online Article Text |
id | pubmed-8344591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-83445912021-08-10 Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool O’Toole, Áine Scher, Emily Underwood, Anthony Jackson, Ben Hill, Verity McCrone, John T Colquhoun, Rachel Ruis, Chris Abu-Dahab, Khalil Taylor, Ben Yeats, Corin du Plessis, Louis Maloney, Daniel Medd, Nathan Attwood, Stephen W Aanensen, David M Holmes, Edward C Pybus, Oliver G Rambaut, Andrew Virus Evol Resources The response of the global virus genomics community to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been unprecedented, with significant advances made towards the ‘real-time’ generation and sharing of SARS-CoV-2 genomic data. The rapid growth in virus genome data production has necessitated the development of new analytical methods that can deal with orders of magnitude of more genomes than previously available. Here, we present and describe Phylogenetic Assignment of Named Global Outbreak Lineages (pangolin), a computational tool that has been developed to assign the most likely lineage to a given SARS-CoV-2 genome sequence according to the Pango dynamic lineage nomenclature scheme. To date, nearly two million virus genomes have been submitted to the web-application implementation of pangolin, which has facilitated the SARS-CoV-2 genomic epidemiology and provided researchers with access to actionable information about the pandemic’s transmission lineages. Oxford University Press 2021-07-30 /pmc/articles/PMC8344591/ /pubmed/34527285 http://dx.doi.org/10.1093/ve/veab064 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Resources O’Toole, Áine Scher, Emily Underwood, Anthony Jackson, Ben Hill, Verity McCrone, John T Colquhoun, Rachel Ruis, Chris Abu-Dahab, Khalil Taylor, Ben Yeats, Corin du Plessis, Louis Maloney, Daniel Medd, Nathan Attwood, Stephen W Aanensen, David M Holmes, Edward C Pybus, Oliver G Rambaut, Andrew Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool |
title | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool |
title_full | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool |
title_fullStr | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool |
title_full_unstemmed | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool |
title_short | Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool |
title_sort | assignment of epidemiological lineages in an emerging pandemic using the pangolin tool |
topic | Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344591/ https://www.ncbi.nlm.nih.gov/pubmed/34527285 http://dx.doi.org/10.1093/ve/veab064 |
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