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Inferences about global scenario of HTLV-1 infection using data mining of viral sequences
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4044646/ http://dx.doi.org/10.1186/1742-4690-11-S1-P48 |
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author | Araujo, Thessika HA Barreto, Fernanda K Miranda, Aline CAM Alcantara, Luiz CJ |
author_facet | Araujo, Thessika HA Barreto, Fernanda K Miranda, Aline CAM Alcantara, Luiz CJ |
author_sort | Araujo, Thessika HA |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-4044646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40446462014-06-19 Inferences about global scenario of HTLV-1 infection using data mining of viral sequences Araujo, Thessika HA Barreto, Fernanda K Miranda, Aline CAM Alcantara, Luiz CJ Retrovirology Poster Presentation BioMed Central 2014-01-07 /pmc/articles/PMC4044646/ http://dx.doi.org/10.1186/1742-4690-11-S1-P48 Text en Copyright © 2014 Araujo et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Poster Presentation Araujo, Thessika HA Barreto, Fernanda K Miranda, Aline CAM Alcantara, Luiz CJ Inferences about global scenario of HTLV-1 infection using data mining of viral sequences |
title | Inferences about global scenario of HTLV-1 infection using data mining of viral sequences |
title_full | Inferences about global scenario of HTLV-1 infection using data mining of viral sequences |
title_fullStr | Inferences about global scenario of HTLV-1 infection using data mining of viral sequences |
title_full_unstemmed | Inferences about global scenario of HTLV-1 infection using data mining of viral sequences |
title_short | Inferences about global scenario of HTLV-1 infection using data mining of viral sequences |
title_sort | inferences about global scenario of htlv-1 infection using data mining of viral sequences |
topic | Poster Presentation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4044646/ http://dx.doi.org/10.1186/1742-4690-11-S1-P48 |
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