A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2

Wide-spread outbreaks of pathogens require high intensity testing to manage. Here, the authors present C19-SPAR-Seq, a scalable and automated platform to analyse tens of thousands of SARS-CoV-2 patient samples in a single run.

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Autores principales: Marie-Ming Aynaud, J. Javier Hernandez, Seda Barutcu, Ulrich Braunschweig, Kin Chan, Joel D. Pearson, Daniel Trcka, Suzanna L. Prosser, Jaeyoun Kim, Miriam Barrios-Rodiles, Mark Jen, Siyuan Song, Jess Shen, Christine Bruce, Bryn Hazlett, Susan Poutanen, Liliana Attisano, Rod Bremner, Benjamin J. Blencowe, Tony Mazzulli, Hong Han, Laurence Pelletier, Jeffrey L. Wrana
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ac044901fa7a4d629bfedd519a0399c2
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spelling oai:doaj.org-article:ac044901fa7a4d629bfedd519a0399c22021-12-02T13:15:00ZA multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-210.1038/s41467-021-21653-y2041-1723https://doaj.org/article/ac044901fa7a4d629bfedd519a0399c22021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-21653-yhttps://doaj.org/toc/2041-1723Wide-spread outbreaks of pathogens require high intensity testing to manage. Here, the authors present C19-SPAR-Seq, a scalable and automated platform to analyse tens of thousands of SARS-CoV-2 patient samples in a single run.Marie-Ming AynaudJ. Javier HernandezSeda BarutcuUlrich BraunschweigKin ChanJoel D. PearsonDaniel TrckaSuzanna L. ProsserJaeyoun KimMiriam Barrios-RodilesMark JenSiyuan SongJess ShenChristine BruceBryn HazlettSusan PoutanenLiliana AttisanoRod BremnerBenjamin J. BlencoweTony MazzulliHong HanLaurence PelletierJeffrey L. WranaNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Marie-Ming Aynaud
J. Javier Hernandez
Seda Barutcu
Ulrich Braunschweig
Kin Chan
Joel D. Pearson
Daniel Trcka
Suzanna L. Prosser
Jaeyoun Kim
Miriam Barrios-Rodiles
Mark Jen
Siyuan Song
Jess Shen
Christine Bruce
Bryn Hazlett
Susan Poutanen
Liliana Attisano
Rod Bremner
Benjamin J. Blencowe
Tony Mazzulli
Hong Han
Laurence Pelletier
Jeffrey L. Wrana
A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
description Wide-spread outbreaks of pathogens require high intensity testing to manage. Here, the authors present C19-SPAR-Seq, a scalable and automated platform to analyse tens of thousands of SARS-CoV-2 patient samples in a single run.
format article
author Marie-Ming Aynaud
J. Javier Hernandez
Seda Barutcu
Ulrich Braunschweig
Kin Chan
Joel D. Pearson
Daniel Trcka
Suzanna L. Prosser
Jaeyoun Kim
Miriam Barrios-Rodiles
Mark Jen
Siyuan Song
Jess Shen
Christine Bruce
Bryn Hazlett
Susan Poutanen
Liliana Attisano
Rod Bremner
Benjamin J. Blencowe
Tony Mazzulli
Hong Han
Laurence Pelletier
Jeffrey L. Wrana
author_facet Marie-Ming Aynaud
J. Javier Hernandez
Seda Barutcu
Ulrich Braunschweig
Kin Chan
Joel D. Pearson
Daniel Trcka
Suzanna L. Prosser
Jaeyoun Kim
Miriam Barrios-Rodiles
Mark Jen
Siyuan Song
Jess Shen
Christine Bruce
Bryn Hazlett
Susan Poutanen
Liliana Attisano
Rod Bremner
Benjamin J. Blencowe
Tony Mazzulli
Hong Han
Laurence Pelletier
Jeffrey L. Wrana
author_sort Marie-Ming Aynaud
title A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_short A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_full A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_fullStr A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_full_unstemmed A multiplexed, next generation sequencing platform for high-throughput detection of SARS-CoV-2
title_sort multiplexed, next generation sequencing platform for high-throughput detection of sars-cov-2
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/ac044901fa7a4d629bfedd519a0399c2
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