Application of deep sequencing methods for inferring viral population diversity

Sheng Wen Huang, Su Jhen Hung, Jen-Ren Wang

Research output: Contribution to journalReview article

Abstract

The first deep sequencing method was announced in 2005. Due to an increasing number of sequencing data and a reduction in the costs of each sequencing dataset, this innovative technique was soon applied to genetic investigations of viral genome diversity in various viruses, particularly RNA viruses. These deep sequencing findings documented viral epidemiology and evolution and provided high-resolution data on the genetic changes in viral populations. Here, we review deep sequencing platforms that have been applied in viral quasispecies studies. Further, we discuss recent deep sequencing studies on viral inter- and intrahost evolution, drug resistance, and humoral immune selection, especially in emerging and re-emerging viruses. Deep sequencing methods are becoming the standard for providing comprehensive results of viral population diversity, and their applications are discussed.

Original languageEnglish
Pages (from-to)95-102
Number of pages8
JournalJournal of Virological Methods
Volume266
DOIs
Publication statusPublished - 2019 Apr 1

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High-Throughput Nucleotide Sequencing
Population
Viruses
Viral Genome
RNA Viruses
Drug Resistance
Epidemiology
Costs and Cost Analysis

All Science Journal Classification (ASJC) codes

  • Virology

Cite this

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Application of deep sequencing methods for inferring viral population diversity. / Huang, Sheng Wen; Hung, Su Jhen; Wang, Jen-Ren.

In: Journal of Virological Methods, Vol. 266, 01.04.2019, p. 95-102.

Research output: Contribution to journalReview article

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