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The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America

The South American human immunodeficiency virus type 1 (HIV-1) epidemic is driven by several subtypes (B, C, and F1) and circulating and unique recombinant forms derived from those subtypes. Those variants are heterogeneously distributed around the continent in a country-specific manner. Despite som...

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Detalles Bibliográficos
Autores principales: Bello, Gonzalo, Soares, Marcelo A., Schrago, Carlos G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226295/
https://www.ncbi.nlm.nih.gov/pubmed/22162803
http://dx.doi.org/10.1155/2011/154945
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author Bello, Gonzalo
Soares, Marcelo A.
Schrago, Carlos G.
author_facet Bello, Gonzalo
Soares, Marcelo A.
Schrago, Carlos G.
author_sort Bello, Gonzalo
collection PubMed
description The South American human immunodeficiency virus type 1 (HIV-1) epidemic is driven by several subtypes (B, C, and F1) and circulating and unique recombinant forms derived from those subtypes. Those variants are heterogeneously distributed around the continent in a country-specific manner. Despite some inconsistencies mainly derived from sampling biases and analytical constrains, most of studies carried out in the area agreed in pointing out specificities in the evolutionary dynamics of the circulating HIV-1 lineages. In this paper, we covered the theoretical basis, and the application of bioinformatics methods to reconstruct the HIV spatial-temporal dynamics, unveiling relevant information to understand the origin, geographical dissemination and the current molecular scenario of the HIV epidemic in the continent, particularly in the countries of Southern Cone.
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spelling pubmed-32262952011-12-08 The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America Bello, Gonzalo Soares, Marcelo A. Schrago, Carlos G. AIDS Res Treat Review Article The South American human immunodeficiency virus type 1 (HIV-1) epidemic is driven by several subtypes (B, C, and F1) and circulating and unique recombinant forms derived from those subtypes. Those variants are heterogeneously distributed around the continent in a country-specific manner. Despite some inconsistencies mainly derived from sampling biases and analytical constrains, most of studies carried out in the area agreed in pointing out specificities in the evolutionary dynamics of the circulating HIV-1 lineages. In this paper, we covered the theoretical basis, and the application of bioinformatics methods to reconstruct the HIV spatial-temporal dynamics, unveiling relevant information to understand the origin, geographical dissemination and the current molecular scenario of the HIV epidemic in the continent, particularly in the countries of Southern Cone. Hindawi Publishing Corporation 2011 2011-11-15 /pmc/articles/PMC3226295/ /pubmed/22162803 http://dx.doi.org/10.1155/2011/154945 Text en Copyright © 2011 Gonzalo Bello et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Bello, Gonzalo
Soares, Marcelo A.
Schrago, Carlos G.
The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America
title The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America
title_full The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America
title_fullStr The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America
title_full_unstemmed The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America
title_short The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America
title_sort use of bioinformatics for studying hiv evolutionary and epidemiological history in south america
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226295/
https://www.ncbi.nlm.nih.gov/pubmed/22162803
http://dx.doi.org/10.1155/2011/154945
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