krisp

krisp classifies Dengue, Chikungunya, and Zika viral sequences by species, serotype, and genotype to monitor virus genotype diversity.


Key Features:

  • Efficient classification methodology: Employs a novel algorithm to classify viral sequences at species and sub-species levels, including serotype and genotype distinctions.
  • Comprehensive validation: Validated on large datasets encompassing whole-genome and partial-genome sequences to assess classification performance across complete and partial genomic data.

Scientific Applications:

  • Epidemiological surveillance: Provides genotype-level classification to support epidemiological studies and public health strategies for Dengue, Chikungunya, and Zika.
  • Evolutionary and dissemination tracking: Enables tracking of virus evolution and dissemination patterns to inform targeted prevention and treatment strategies.

Methodology:

Uses an algorithm that distinguishes species and sub-species (including serotype and genotype) from genetic sequence data and has been validated on whole-genome and partial-genome datasets.

Topics

Details

License:
Other
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Fonseca V, Libin PJK, Theys K, Faria NR, Nunes MRT, Restovic MI, Freire M, Giovanetti M, Cuypers L, Nowé A, Abecasis A, Deforche K, Santiago GA, Siqueira ICd, San EJ, Machado KCB, Azevedo V, Filippis AMB, Cunha RVd, Pybus OG, Vandamme A, Alcantara LCJ, de Oliveira T. A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. PLOS Neglected Tropical Diseases. 2019;13(5):e0007231. doi:10.1371/journal.pntd.0007231. PMID:31067235. PMCID:PMC6527240.