Assignment of Epidemiological Lineages in an Emerging Pandemic Using the Pangolin Tool

Author:

O’Toole Áine1ORCID,Scher Emily1ORCID,Underwood Anthony2,Jackson Ben1,Hill Verity1ORCID,McCrone John T1,Colquhoun Rachel1ORCID,Ruis Chris3,Abu-Dahab Khalil2,Taylor Ben2,Yeats Corin2ORCID,Du Plessis Louis4,Maloney Daniel1,Medd Nathan1ORCID,Attwood Stephen W4ORCID,Aanensen David M2,Holmes Edward C5ORCID,Pybus Oliver G4ORCID,Rambaut Andrew1ORCID

Affiliation:

1. Institute of Evolutionary Biology, University of Edinburgh, United Kingdom

2. The Centre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, United Kingdom

3. University of Cambridge, United Kingdom

4. Department of Zoology, University of Oxford, United Kingdom

5. School of Life & Environmental Sciences and School of Medical Sciences, University of Sydney, Australia

Abstract

Abstract The response of the global virus genomics community to the 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 more genomes than previously available. Here we present and describe pangolin (Phylogenetic Assignment of Named Global Outbreak Lineages), 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 nomenclature scheme described in Rambaut et al. (2020). 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.

Funder

European Research Council

Wellcome

Fast Grants

Oxford Martin School, University of Oxford

Publisher

Oxford University Press (OUP)

Subject

Virology,Microbiology

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