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Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking

The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting i...

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Autores principales: Donzelli, Sara, Ciuffreda, Ludovica, Pontone, Martina, Betti, Martina, Massacci, Alice, Mottini, Carla, De Nicola, Francesca, Orlandi, Giulia, Goeman, Frauke, Giuliani, Eugenia, Sperandio, Eleonora, Piaggio, Giulia, Morrone, Aldo, Ciliberto, Gennaro, Fanciulli, Maurizio, Blandino, Giovanni, Pimpinelli, Fulvia, Pallocca, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119164/
https://www.ncbi.nlm.nih.gov/pubmed/35611117
http://dx.doi.org/10.1016/j.csbj.2022.05.033
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author Donzelli, Sara
Ciuffreda, Ludovica
Pontone, Martina
Betti, Martina
Massacci, Alice
Mottini, Carla
De Nicola, Francesca
Orlandi, Giulia
Goeman, Frauke
Giuliani, Eugenia
Sperandio, Eleonora
Piaggio, Giulia
Morrone, Aldo
Ciliberto, Gennaro
Fanciulli, Maurizio
Blandino, Giovanni
Pimpinelli, Fulvia
Pallocca, Matteo
author_facet Donzelli, Sara
Ciuffreda, Ludovica
Pontone, Martina
Betti, Martina
Massacci, Alice
Mottini, Carla
De Nicola, Francesca
Orlandi, Giulia
Goeman, Frauke
Giuliani, Eugenia
Sperandio, Eleonora
Piaggio, Giulia
Morrone, Aldo
Ciliberto, Gennaro
Fanciulli, Maurizio
Blandino, Giovanni
Pimpinelli, Fulvia
Pallocca, Matteo
author_sort Donzelli, Sara
collection PubMed
description The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting interventions to contain novel outbreaks. This scenario poses a challenge for NGS laboratories worldwide that are pressed to have both a faster turnaround time and a high-throughput processing of swabs for sequencing and analysis. In this study, we present an optimization of the Illumina COVID-seq protocol carried out on thousands of SARS-CoV-2 samples at the wet and dry level. We discuss the unique challenges related to processing hundreds of swabs per week such as the tradeoff between ultra-high sensitivity and negative contamination levels, cost efficiency and bioinformatics quality metrics.
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spelling pubmed-91191642022-05-20 Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking Donzelli, Sara Ciuffreda, Ludovica Pontone, Martina Betti, Martina Massacci, Alice Mottini, Carla De Nicola, Francesca Orlandi, Giulia Goeman, Frauke Giuliani, Eugenia Sperandio, Eleonora Piaggio, Giulia Morrone, Aldo Ciliberto, Gennaro Fanciulli, Maurizio Blandino, Giovanni Pimpinelli, Fulvia Pallocca, Matteo Comput Struct Biotechnol J Short Communication The SARS-CoV-2 Variants of Concern tracking via Whole Genome Sequencing represents a pillar of public health measures for the containment of the pandemic. The ability to track down the lineage distribution on a local and global scale leads to a better understanding of immune escape and to adopting interventions to contain novel outbreaks. This scenario poses a challenge for NGS laboratories worldwide that are pressed to have both a faster turnaround time and a high-throughput processing of swabs for sequencing and analysis. In this study, we present an optimization of the Illumina COVID-seq protocol carried out on thousands of SARS-CoV-2 samples at the wet and dry level. We discuss the unique challenges related to processing hundreds of swabs per week such as the tradeoff between ultra-high sensitivity and negative contamination levels, cost efficiency and bioinformatics quality metrics. Research Network of Computational and Structural Biotechnology 2022-05-19 /pmc/articles/PMC9119164/ /pubmed/35611117 http://dx.doi.org/10.1016/j.csbj.2022.05.033 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Short Communication
Donzelli, Sara
Ciuffreda, Ludovica
Pontone, Martina
Betti, Martina
Massacci, Alice
Mottini, Carla
De Nicola, Francesca
Orlandi, Giulia
Goeman, Frauke
Giuliani, Eugenia
Sperandio, Eleonora
Piaggio, Giulia
Morrone, Aldo
Ciliberto, Gennaro
Fanciulli, Maurizio
Blandino, Giovanni
Pimpinelli, Fulvia
Pallocca, Matteo
Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking
title Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking
title_full Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking
title_fullStr Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking
title_full_unstemmed Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking
title_short Optimizing the Illumina COVIDSeq laboratorial and bioinformatics pipeline on thousands of samples for SARS-CoV-2 Variants of Concern tracking
title_sort optimizing the illumina covidseq laboratorial and bioinformatics pipeline on thousands of samples for sars-cov-2 variants of concern tracking
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119164/
https://www.ncbi.nlm.nih.gov/pubmed/35611117
http://dx.doi.org/10.1016/j.csbj.2022.05.033
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