A computational method for the identification of dengue, zika and chikungunya virus species and genotypes

37Citations
Citations of this article
139Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Fonseca, V., Libin, P. J. K., Theys, K., Faria, N. R., Nunes, M. R. T., Restovic, M. I., … de Oliveira, T. (2019). A computational method for the identification of dengue, zika and chikungunya virus species and genotypes. PLoS Neglected Tropical Diseases, 13(5). https://doi.org/10.1371/journal.pntd.0007231

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free