CLIMB-COVID: continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance



Nicholls, Samuel M, Poplawski, Radoslaw, Bull, Matthew J, Underwood, Anthony, Chapman, Michael, Abu-Dahab, Khalil, Taylor, Ben, Colquhoun, Rachel M, Rowe, Will PM, Jackson, Ben
et al (show 13 more authors) (2021) CLIMB-COVID: continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance. Genome Biology, 22 (1). 196-.

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Abstract

<jats:title>Abstract</jats:title><jats:p>In response to the ongoing SARS-CoV-2 pandemic in the UK, the COVID-19 Genomics UK (COG-UK) consortium was formed to rapidly sequence SARS-CoV-2 genomes as part of a national-scale genomic surveillance strategy. The network consists of universities, academic institutes, regional sequencing centres and the four UK Public Health Agencies. We describe the development and deployment of CLIMB-COVID, an encompassing digital infrastructure to address the challenge of collecting and integrating both genomic sequencing data and sample-associated metadata produced across the COG-UK network.</jats:p>

Item Type: Article
Uncontrolled Keywords: COVID-19 Genomics UK (COG-UK) Consortium, Humans, Sequence Analysis, DNA, Genomics, Genome, Viral, User-Computer Interface, Epidemiological Monitoring, Cloud Computing, United Kingdom, Whole Genome Sequencing, COVID-19, SARS-CoV-2
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Infection, Veterinary and Ecological Sciences
Depositing User: Symplectic Admin
Date Deposited: 19 May 2022 07:53
Last Modified: 18 Mar 2024 03:22
DOI: 10.1186/s13059-021-02395-y
Open Access URL: https://doi.org/10.1186/s13059-021-02395-y
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3155099