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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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | AIDS Research and Treatment |
| Online Access: | http://dx.doi.org/10.1155/2011/154945 |
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| _version_ | 1850210212771790848 |
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| author | Gonzalo Bello Marcelo A. Soares Carlos G. Schrago |
| author_facet | Gonzalo Bello Marcelo A. Soares Carlos G. Schrago |
| author_sort | Gonzalo Bello |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-96e5cd43bffd40079c0f110ed75d34e9 |
| institution | OA Journals |
| issn | 2090-1240 2090-1259 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | AIDS Research and Treatment |
| spelling | doaj-art-96e5cd43bffd40079c0f110ed75d34e92025-08-20T02:09:49ZengWileyAIDS Research and Treatment2090-12402090-12592011-01-01201110.1155/2011/154945154945The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South AmericaGonzalo Bello0Marcelo A. Soares1Carlos G. Schrago2Laboratório de Imunologia e Aids, Instituto Oswaldo Cruz, 21040-360 Rio de Janeiro, RJ, BrazilDepartamento de Genética, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, RJ, BrazilDepartamento de Genética, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, RJ, BrazilThe 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.http://dx.doi.org/10.1155/2011/154945 |
| spellingShingle | Gonzalo Bello Marcelo A. Soares Carlos G. Schrago The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America AIDS Research and Treatment |
| 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 |
| url | http://dx.doi.org/10.1155/2011/154945 |
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