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Bioinformatics resources for SARS-CoV-2 discovery and surveillance.
Hu, Tao; Li, Juan; Zhou, Hong; Li, Cixiu; Holmes, Edward C; Shi, Weifeng.
  • Hu T; Shandong First Medical University, China.
  • Li J; Shandong First Medical University, China.
  • Zhou H; Shandong First Medical University, China.
  • Li C; Shandong First Medical University, China.
  • Holmes EC; University of Sydney, Australia.
  • Shi W; Shandong First Medical University, China.
Brief Bioinform ; 22(2): 631-641, 2021 03 22.
Article in English | MEDLINE | ID: covidwho-1352116
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / SARS-CoV-2 / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computational Biology / SARS-CoV-2 / COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: Brief Bioinform Journal subject: Biology / Medical Informatics Year: 2021 Document Type: Article Affiliation country: Bib