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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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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. |
format | Online Article Text |
id | pubmed-9119164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
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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