A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes.
PLoS Negl Trop Dis
; 13(5): e0007231, 2019 05.
Article
in En
| MEDLINE
| ID: mdl-31067235
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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Chikungunya virus
/
Computational Biology
/
Dengue Virus
/
Zika Virus
Type of study:
Diagnostic_studies
/
Evaluation_studies
Language:
En
Journal:
PLoS Negl Trop Dis
Journal subject:
MEDICINA TROPICAL
Year:
2019
Type:
Article
Affiliation country:
Brazil