Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Tao, Li, Juan, Zhou, Hong, Li, Cixiu, Holmes, Edward C, Shi, Weifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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
_version_ 1783659921736204288
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
work_keys_str_mv AT hutao bioinformaticsresourcesforsarscov2discoveryandsurveillance
AT lijuan bioinformaticsresourcesforsarscov2discoveryandsurveillance
AT zhouhong bioinformaticsresourcesforsarscov2discoveryandsurveillance
AT licixiu bioinformaticsresourcesforsarscov2discoveryandsurveillance
AT holmesedwardc bioinformaticsresourcesforsarscov2discoveryandsurveillance
AT shiweifeng bioinformaticsresourcesforsarscov2discoveryandsurveillance