COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance

Genomic surveillance of SARS-CoV-2 is crucial to monitor the spread of variants of concern. A new sequencing method enables cost-effective SARS-CoV-2 genomic surveillance at scale and is easily adaptable to other viruses. 

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Autores principales: Michele Simonetti, Ning Zhang, Luuk Harbers, Maria Grazia Milia, Silvia Brossa, Thi Thu Huong Nguyen, Francesco Cerutti, Enrico Berrino, Anna Sapino, Magda Bienko, Antonino Sottile, Valeria Ghisetti, Nicola Crosetto
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/59ac650297524e1a915ee584a53ec570
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spelling oai:doaj.org-article:59ac650297524e1a915ee584a53ec5702021-12-02T17:14:22ZCOVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance10.1038/s41467-021-24078-92041-1723https://doaj.org/article/59ac650297524e1a915ee584a53ec5702021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24078-9https://doaj.org/toc/2041-1723Genomic surveillance of SARS-CoV-2 is crucial to monitor the spread of variants of concern. A new sequencing method enables cost-effective SARS-CoV-2 genomic surveillance at scale and is easily adaptable to other viruses. Michele SimonettiNing ZhangLuuk HarbersMaria Grazia MiliaSilvia BrossaThi Thu Huong NguyenFrancesco CeruttiEnrico BerrinoAnna SapinoMagda BienkoAntonino SottileValeria GhisettiNicola CrosettoNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Michele Simonetti
Ning Zhang
Luuk Harbers
Maria Grazia Milia
Silvia Brossa
Thi Thu Huong Nguyen
Francesco Cerutti
Enrico Berrino
Anna Sapino
Magda Bienko
Antonino Sottile
Valeria Ghisetti
Nicola Crosetto
COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance
description Genomic surveillance of SARS-CoV-2 is crucial to monitor the spread of variants of concern. A new sequencing method enables cost-effective SARS-CoV-2 genomic surveillance at scale and is easily adaptable to other viruses. 
format article
author Michele Simonetti
Ning Zhang
Luuk Harbers
Maria Grazia Milia
Silvia Brossa
Thi Thu Huong Nguyen
Francesco Cerutti
Enrico Berrino
Anna Sapino
Magda Bienko
Antonino Sottile
Valeria Ghisetti
Nicola Crosetto
author_facet Michele Simonetti
Ning Zhang
Luuk Harbers
Maria Grazia Milia
Silvia Brossa
Thi Thu Huong Nguyen
Francesco Cerutti
Enrico Berrino
Anna Sapino
Magda Bienko
Antonino Sottile
Valeria Ghisetti
Nicola Crosetto
author_sort Michele Simonetti
title COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance
title_short COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance
title_full COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance
title_fullStr COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance
title_full_unstemmed COVseq is a cost-effective workflow for mass-scale SARS-CoV-2 genomic surveillance
title_sort covseq is a cost-effective workflow for mass-scale sars-cov-2 genomic surveillance
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/59ac650297524e1a915ee584a53ec570
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