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A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes.
- Source :
-
PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2019 May 08; Vol. 13 (5), pp. e0007231. Date of Electronic Publication: 2019 May 08 (Print Publication: 2019). - Publication Year :
- 2019
-
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.<br />Competing Interests: Dr. Koen Deforche is one of the owners of the commercial company, EMWEB.
- Subjects :
- Chikungunya Fever virology
Chikungunya virus classification
Chikungunya virus genetics
Dengue virology
Dengue Virus classification
Dengue Virus genetics
Genome, Viral
Genotype
Phylogeny
Zika Virus classification
Zika Virus genetics
Zika Virus Infection virology
Chikungunya virus isolation & purification
Computational Biology methods
Dengue Virus isolation & purification
Zika Virus isolation & purification
Subjects
Details
- Language :
- English
- ISSN :
- 1935-2735
- Volume :
- 13
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- PLoS neglected tropical diseases
- Publication Type :
- Academic Journal
- Accession number :
- 31067235
- Full Text :
- https://doi.org/10.1371/journal.pntd.0007231