Bioinformatics resources for SARS-CoV-2 discovery and surveillance.
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.
Keywords
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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