Detalhes bibliográficos
| Resumo: | 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. |
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| Autores principais: | Fonseca, Vagner S. |
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| Outros Autores: | Libin, Pieter J. K.; Theys, Kristof; Faria, Nuno Rodrigues; Nunes, Márcio Roberto Texeira; Restovic, Maria I.; Freire, Murilo; Giovanetti, Marta; Cuypers, Lize; Nowé, Ann; Abecasis, AB; Deforche, Koen; Santiago, Gilberto A.; de Siqueira, Isadora Cristina; San, Emmanuel J.; Machado, Kaliane C.B.; Azevedo, Vasco Ariston De Carvalho; de Filippis, Ana Maria Bispo; da Cunha, Rivaldo Venâncio; Pybus, Oliver George; Vandamme, AM; Alcantara, L. C. J.; de Oliveira, Túlio |
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| Assunto: | Computer Science Applications Virology Infectious Diseases Genetics SDG 3 - Good Health and Well-being |
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| Ano: | 2019 |
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| País: | Portugal |
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| Tipo de documento: | artigo |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Universidade Nova de Lisboa |
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| Idioma: | inglês |
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| Origem: | Repositório Institucional da UNL |
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