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Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis
The coronavirus disease 2019 (COVID-19) pandemic has provided a stage to illustrate that there is considerable value in obtaining rapid, whole-genome–based information about pathogens. This article describes the utility of a commercially available, automated severe acute respiratory syndrome associa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Investigative Pathology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902282/ https://www.ncbi.nlm.nih.gov/pubmed/36754279 http://dx.doi.org/10.1016/j.jmoldx.2023.01.005 |
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author | Gorzalski, Andrew J. Kerwin, Heather Verma, Subhash Hess, David C. Sevinsky, Joel Libuit, Kevin Vlasova-St. Louis, Irina Siao, Danielle Siao, Lauren Buñuel, Diego Van Hooser, Stephanie Pandori, Mark W. |
author_facet | Gorzalski, Andrew J. Kerwin, Heather Verma, Subhash Hess, David C. Sevinsky, Joel Libuit, Kevin Vlasova-St. Louis, Irina Siao, Danielle Siao, Lauren Buñuel, Diego Van Hooser, Stephanie Pandori, Mark W. |
author_sort | Gorzalski, Andrew J. |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) pandemic has provided a stage to illustrate that there is considerable value in obtaining rapid, whole-genome–based information about pathogens. This article describes the utility of a commercially available, automated severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) library preparation, genome sequencing, and a bioinformatics analysis pipeline to provide rapid, near–real-time SARS-CoV-2 variant description. This study evaluated the turnaround time, accuracy, and other quality-related parameters obtained from commercially available automated sequencing instrumentation, from analysis of continuous clinical samples obtained from January 1, 2021, to October 6, 2021. This analysis included a base-by-base assessment of sequencing accuracy at every position in the SARS-CoV-2 chromosome using two commercially available methods. Mean turnaround time, from the receipt of a specimen for SARS-CoV-2 testing to the availability of the results, with lineage assignment, was <3 days. Accuracy of sequencing by one method was 100%, although certain sites on the genome were found repeatedly to have been sequenced with varying degrees of read error rate. |
format | Online Article Text |
id | pubmed-9902282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Investigative Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-99022822023-02-07 Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis Gorzalski, Andrew J. Kerwin, Heather Verma, Subhash Hess, David C. Sevinsky, Joel Libuit, Kevin Vlasova-St. Louis, Irina Siao, Danielle Siao, Lauren Buñuel, Diego Van Hooser, Stephanie Pandori, Mark W. J Mol Diagn Technical Advance The coronavirus disease 2019 (COVID-19) pandemic has provided a stage to illustrate that there is considerable value in obtaining rapid, whole-genome–based information about pathogens. This article describes the utility of a commercially available, automated severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) library preparation, genome sequencing, and a bioinformatics analysis pipeline to provide rapid, near–real-time SARS-CoV-2 variant description. This study evaluated the turnaround time, accuracy, and other quality-related parameters obtained from commercially available automated sequencing instrumentation, from analysis of continuous clinical samples obtained from January 1, 2021, to October 6, 2021. This analysis included a base-by-base assessment of sequencing accuracy at every position in the SARS-CoV-2 chromosome using two commercially available methods. Mean turnaround time, from the receipt of a specimen for SARS-CoV-2 testing to the availability of the results, with lineage assignment, was <3 days. Accuracy of sequencing by one method was 100%, although certain sites on the genome were found repeatedly to have been sequenced with varying degrees of read error rate. American Society for Investigative Pathology 2023-04 /pmc/articles/PMC9902282/ /pubmed/36754279 http://dx.doi.org/10.1016/j.jmoldx.2023.01.005 Text en © 2023 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved. |
spellingShingle | Technical Advance Gorzalski, Andrew J. Kerwin, Heather Verma, Subhash Hess, David C. Sevinsky, Joel Libuit, Kevin Vlasova-St. Louis, Irina Siao, Danielle Siao, Lauren Buñuel, Diego Van Hooser, Stephanie Pandori, Mark W. Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis |
title | Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis |
title_full | Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis |
title_fullStr | Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis |
title_full_unstemmed | Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis |
title_short | Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis |
title_sort | rapid lineage assignment of severe acute respiratory syndrome coronavirus 2 cases through automated library preparation, sequencing, and bioinformatic analysis |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902282/ https://www.ncbi.nlm.nih.gov/pubmed/36754279 http://dx.doi.org/10.1016/j.jmoldx.2023.01.005 |
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