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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.

Original publication

DOI

10.1371/journal.pntd.0007231

Type

Journal article

Journal

PLoS Negl Trop Dis

Publication Date

05/2019

Volume

13

Keywords

Chikungunya Fever, Chikungunya virus, Computational Biology, Dengue, Dengue Virus, Genome, Viral, Genotype, Phylogeny, Zika Virus, Zika Virus Infection