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

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.

Año de publicación:

2019

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Article

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Aprendizaje automático
    • Microbiología

    Áreas temáticas:

    • Microorganismos, hongos y algas
    • Bioquímica
    • Enfermedades

    Contribuidores:

    Deforche K.Deforche K.
    Freire M.Freire M.
    Theys K.Theys K.
    De Filippis A.M.B.De Filippis A.M.B.
    Vandamme A.M.Vandamme A.M.
    Pybus O.G.Pybus O.G.
    Libin P.J.K.Libin P.J.K.
    Isadora Cristina de SiqueiraIsadora Cristina de Siqueira
    Nunes M.R.T.Nunes M.R.T.
    Nowé A.Nowé A.
    Abecasis A.Abecasis A.
    Cuypers L.Cuypers L.
    Santiago G.A.Santiago G.A.
    Alcantara L.C.J.Alcantara L.C.J.
    Restovic M.I.Restovic M.I.
    Giovanetti M.Giovanetti M.
    Faria N.R.Faria N.R.
    Machado K.C.B.Machado K.C.B.
    Fonseca V.Fonseca V.
    Da Cunha R.V.Da Cunha R.V.
    de Oliveira T.de Oliveira T.
    San E.J.San E.J.
    de Carvalho Azevedo V.A.de Carvalho Azevedo V.A.