A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes

In recent years, an increasing number of outbreaks of Dengue, Chikungunya and Zika viruses have been reported in Asia and the Americas. Monitoring virus genotype diversity is crucial to understand the emergence and spread of outbreaks, both aspects that are vital to develop effective prevention and...

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Vydané v:PLoS neglected tropical diseases Ročník 13; číslo 5; s. e0007231
Hlavní autori: Fonseca, Vagner, Libin, Pieter J. K., Theys, Kristof, Faria, Nuno R., Nunes, Marcio R. T., Restovic, Maria I., Freire, Murilo, Giovanetti, Marta, Cuypers, Lize, Nowé, Ann, Abecasis, Ana, Deforche, Koen, Santiago, Gilberto A., Siqueira, Isadora C. de, San, Emmanuel J., Machado, Kaliane C. B., Azevedo, Vasco, Filippis, Ana Maria Bispo-de, Cunha, Rivaldo Venâncio da, Pybus, Oliver G., Vandamme, Anne-Mieke, Alcantara, Luiz C. J., de Oliveira, Tulio
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 01.05.2019
Public Library of Science (PLoS)
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ISSN:1935-2735, 1935-2727, 1935-2735
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Shrnutí:In recent years, an increasing number of outbreaks of Dengue, Chikungunya and Zika viruses have been reported in Asia and the Americas. Monitoring virus genotype diversity is crucial to understand the emergence and spread of outbreaks, both aspects that are vital to develop effective prevention and treatment strategies. Hence, we developed an efficient method to classify virus sequences with respect to their species and sub-species (i.e. serotype and/or genotype). This tool provides an easy-to-use software implementation of this new method and was validated on a large dataset assessing the classification performance with respect to whole-genome sequences and partial-genome sequences. Available online: http://krisp.org.za/tools.php.
Bibliografia:new_version
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Dr. Koen Deforche is one of the owners of the commercial company, EMWEB.
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0007231