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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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.
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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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