國家衛生研究院 NHRI:Item 3990099045/11724
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/11724


    Title: Application of deep sequencing methods for inferring viral population diversity
    Authors: Huang, SW;Hung, SJ;Wang, JR
    Contributors: National Mosquito-Borne Diseases Control Research Center;National Institute of Infectious Diseases and Vaccinology
    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.
    Date: 2019-04
    Relation: Journal of Virological Methods. 2019 Apr;266:95-102.
    Link to: http://dx.doi.org/10.1016/j.jviromet.2019.01.013
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0166-0934&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000460851500014
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85061352561
    Appears in Collections:[Others] Periodical Articles
    [Sheng-Wen Huang] Periodical Articles

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