A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes.
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...
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2019-05-01
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Series: | PLoS Neglected Tropical Diseases |
Online Access: | https://doi.org/10.1371/journal.pntd.0007231 |
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author | Vagner Fonseca Pieter J K Libin Kristof Theys Nuno R Faria Marcio R T Nunes Maria I Restovic Murilo Freire Marta Giovanetti Lize Cuypers Ann Nowé Ana Abecasis Koen Deforche Gilberto A Santiago Isadora C de Siqueira Emmanuel J San Kaliane C B Machado Vasco Azevedo Ana Maria Bispo-de Filippis Rivaldo Venâncio da Cunha Oliver G Pybus Anne-Mieke Vandamme Luiz C J Alcantara Tulio de Oliveira |
author_facet | Vagner Fonseca Pieter J K Libin Kristof Theys Nuno R Faria Marcio R T Nunes Maria I Restovic Murilo Freire Marta Giovanetti Lize Cuypers Ann Nowé Ana Abecasis Koen Deforche Gilberto A Santiago Isadora C de Siqueira Emmanuel J San Kaliane C B Machado Vasco Azevedo Ana Maria Bispo-de Filippis Rivaldo Venâncio da Cunha Oliver G Pybus Anne-Mieke Vandamme Luiz C J Alcantara Tulio de Oliveira |
author_sort | Vagner Fonseca |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-18T00:55:40Z |
format | Article |
id | doaj.art-4e43129addbc4996b003291af82e3d82 |
institution | Directory Open Access Journal |
issn | 1935-2727 1935-2735 |
language | English |
last_indexed | 2024-12-18T00:55:40Z |
publishDate | 2019-05-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS Neglected Tropical Diseases |
spelling | doaj.art-4e43129addbc4996b003291af82e3d822022-12-21T21:26:32ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352019-05-01135e000723110.1371/journal.pntd.0007231A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes.Vagner FonsecaPieter J K LibinKristof TheysNuno R FariaMarcio R T NunesMaria I RestovicMurilo FreireMarta GiovanettiLize CuypersAnn NowéAna AbecasisKoen DeforcheGilberto A SantiagoIsadora C de SiqueiraEmmanuel J SanKaliane C B MachadoVasco AzevedoAna Maria Bispo-de FilippisRivaldo Venâncio da CunhaOliver G PybusAnne-Mieke VandammeLuiz C J AlcantaraTulio de OliveiraIn 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.https://doi.org/10.1371/journal.pntd.0007231 |
spellingShingle | Vagner Fonseca Pieter J K Libin Kristof Theys Nuno R Faria Marcio R T Nunes Maria I Restovic Murilo Freire Marta Giovanetti Lize Cuypers Ann Nowé Ana Abecasis Koen Deforche Gilberto A Santiago Isadora C de Siqueira Emmanuel J San Kaliane C B Machado Vasco Azevedo Ana Maria Bispo-de Filippis Rivaldo Venâncio da Cunha Oliver G Pybus Anne-Mieke Vandamme Luiz C J Alcantara Tulio de Oliveira A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. PLoS Neglected Tropical Diseases |
title | A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. |
title_full | A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. |
title_fullStr | A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. |
title_full_unstemmed | A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. |
title_short | A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypes. |
title_sort | computational method for the identification of dengue zika and chikungunya virus species and genotypes |
url | https://doi.org/10.1371/journal.pntd.0007231 |
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