More accurate recombination prediction in HIV-1 using a robust decoding algorithm for HMMs

BACKGROUND: Identifying recombinations in HIV is important for studying the epidemiology of the virus and aids in the design of potential vaccines and treatments. The previous widely-used tool for this task uses the Viterbi algorithm in a hidden Markov model to model recombinant sequences. RESULTS:...

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Detalles Bibliográficos
Autores principales: Truszkowski, Jakub, Brown, Daniel G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123234/
https://www.ncbi.nlm.nih.gov/pubmed/21586147
http://dx.doi.org/10.1186/1471-2105-12-168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123234/
https://www.ncbi.nlm.nih.gov/pubmed/21586147
http://dx.doi.org/10.1186/1471-2105-12-168

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