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Bioinformatics resources for SARS-CoV-2 discovery and surveillance
In early January 2020, the novel coronavirus (SARS-CoV-2) responsible for a pneumonia outbreak in Wuhan, China, was identified using next-generation sequencing (NGS) and readily available bioinformatics pipelines. In addition to virus discovery, these NGS technologies and bioinformatics resources ar...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929396/ https://www.ncbi.nlm.nih.gov/pubmed/33416890 http://dx.doi.org/10.1093/bib/bbaa386 |
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author | Hu, Tao Li, Juan Zhou, Hong Li, Cixiu Holmes, Edward C Shi, Weifeng |
author_facet | Hu, Tao Li, Juan Zhou, Hong Li, Cixiu Holmes, Edward C Shi, Weifeng |
author_sort | Hu, Tao |
collection | PubMed |
description | In early January 2020, the novel coronavirus (SARS-CoV-2) responsible for a pneumonia outbreak in Wuhan, China, was identified using next-generation sequencing (NGS) and readily available bioinformatics pipelines. In addition to virus discovery, these NGS technologies and bioinformatics resources are currently being employed for ongoing genomic surveillance of SARS-CoV-2 worldwide, tracking its spread, evolution and patterns of variation on a global scale. In this review, we summarize the bioinformatics resources used for the discovery and surveillance of SARS-CoV-2. We also discuss the advantages and disadvantages of these bioinformatics resources and highlight areas where additional technical developments are urgently needed. Solutions to these problems will be beneficial not only to the prevention and control of the current COVID-19 pandemic but also to infectious disease outbreaks of the future. |
format | Online Article Text |
id | pubmed-7929396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79293962021-03-04 Bioinformatics resources for SARS-CoV-2 discovery and surveillance Hu, Tao Li, Juan Zhou, Hong Li, Cixiu Holmes, Edward C Shi, Weifeng Brief Bioinform Method Review In early January 2020, the novel coronavirus (SARS-CoV-2) responsible for a pneumonia outbreak in Wuhan, China, was identified using next-generation sequencing (NGS) and readily available bioinformatics pipelines. In addition to virus discovery, these NGS technologies and bioinformatics resources are currently being employed for ongoing genomic surveillance of SARS-CoV-2 worldwide, tracking its spread, evolution and patterns of variation on a global scale. In this review, we summarize the bioinformatics resources used for the discovery and surveillance of SARS-CoV-2. We also discuss the advantages and disadvantages of these bioinformatics resources and highlight areas where additional technical developments are urgently needed. Solutions to these problems will be beneficial not only to the prevention and control of the current COVID-19 pandemic but also to infectious disease outbreaks of the future. Oxford University Press 2021-01-08 /pmc/articles/PMC7929396/ /pubmed/33416890 http://dx.doi.org/10.1093/bib/bbaa386 Text en © The Author(s) 2021. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Method Review Hu, Tao Li, Juan Zhou, Hong Li, Cixiu Holmes, Edward C Shi, Weifeng Bioinformatics resources for SARS-CoV-2 discovery and surveillance |
title | Bioinformatics resources for SARS-CoV-2 discovery and surveillance |
title_full | Bioinformatics resources for SARS-CoV-2 discovery and surveillance |
title_fullStr | Bioinformatics resources for SARS-CoV-2 discovery and surveillance |
title_full_unstemmed | Bioinformatics resources for SARS-CoV-2 discovery and surveillance |
title_short | Bioinformatics resources for SARS-CoV-2 discovery and surveillance |
title_sort | bioinformatics resources for sars-cov-2 discovery and surveillance |
topic | Method Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929396/ https://www.ncbi.nlm.nih.gov/pubmed/33416890 http://dx.doi.org/10.1093/bib/bbaa386 |
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