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Genomics Inform > Volume 16(4); 2018 > Article
DOI: https://doi.org/10.5808/GI.2018.16.4.e22    Published online December 28, 2018.
The Genome-Based Virus Taxonomy with ICTV Database Extension
Shinduck Kang, Young-Chang Kim
Department of Synthetic Biology, Chungbuk National University, Cheongju 28644, Korea
Corresponding author:  Young-Chang Kim
Tel: +82-43-261-2302   Fax: +82-50-4477-6563   Email: youngkim@chungbuk.ac.kr
Received: May 17, 2018   Revised: December 23, 2018   Accepted: December 23, 2018
Abstract
In 1966, the International Classification of Viruses (ICNV) was established to standardize the naming of viruses. In 1975, the organization was renamed ‘ICTV’, by which it is still known today. The primary virus classification provided by ICTV in 1971 was for viruses infecting vertebrates, which includes 19 genera, 2 families, and a further 24 unclassified groups. Presently, the 10th virus taxonomy has been published. However, early classification of viruses was based on the clinical results of “in vivo” and “in vitro”, as well as on the shape of PhynoType virus. However, due to the development of next-generation sequencing (NGS) and the accompanying bioinformatics analysis pipelines, a reconstruction of the classification system has been proposed. At a meeting held in Boston, USA between June 9–11, 2016, even there was an in-depth discussion regarding the classification of viruses using Metagenomic data. One suggested activity that arose from the meeting was that viral taxonomy should be reconstructed, based on genotype and bioinformatics analysis “in silico”. This article describes our efforts to achieve this goal by construction of a web-based system and extension of an associated database, based on ICTV taxonomy. This virus taxonomy web system was specifically designed to extend the virus taxonomy up to strain and isolation, which was then connected with the NCBI database to facilitate searching for specific viral genes; there are also links to journals provided by the EMBL RESTful API that improve accessibility for academic groups.
Keywords: ICTV DB extension, Virus taxonomy searching Web, Virus History
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