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Molecular Epidemiology of SARS-CoV-2 by Sequencing.

Yan, Y; Hu, Q (2022) Molecular Epidemiology of SARS-CoV-2 by Sequencing. Methods Mol Biol, 2452. pp. 19-32. ISSN 1940-6029 https://doi.org/10.1007/978-1-0716-2111-0_2
SGUL Authors: Hu, Qinxue

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Abstract

Sequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contains preliminary information on the phylodynamics and phylogeography of this new virus. A maximum clade credibility tree (MCCT) was constructed using available whole genome sequences of SARS-CoV-2 and highly similar whole genome sequences from bat SARS-like coronavirus, which are available in GenBank. In this chapter, we describe the molecular epidemiology of SARS-CoV-2 by sequencing the viral genomes from confirmed COVID-19 patients, utilizing methods such as target fragment amplification, sequencing, alignment, and maximum similarity mapping.

Item Type: Article
Additional Information: The version of record of this chapter, first published in Methods in Molecular Biology, is available online at Publisher’s website: https://doi.org/10.1007/978-1-0716-2111-0_2
Keywords: COVID-19, Genotype, Molecular epidemiology, SARS-CoV-2, Sequencing, COVID-19, Genome, Viral, Humans, Molecular Epidemiology, Phylogeny, SARS-CoV-2, Humans, Phylogeny, Genome, Viral, Molecular Epidemiology, COVID-19, SARS-CoV-2, 0601 Biochemistry and Cell Biology, Developmental Biology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Methods Mol Biol
ISSN: 1940-6029
Language: eng
Dates:
DateEvent
14 May 2022Published
Publisher License: Publisher's own licence
Projects:
Project IDFunderFunder ID
BJ2020094Wuxi Health CommitteeUNSPECIFIED
GWLM202005Chinese Public Health Alliance ProgramUNSPECIFIED
ZDRC024Wuxi Key Medical Talents ProgramUNSPECIFIED
PubMed ID: 35554898
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/114388
Publisher's version: https://doi.org/10.1007/978-1-0716-2111-0_2

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