Use of profile hidden Markov models in viral discovery: current insights (2017)
- Authors:
- USP affiliated authors: ALVES, JOÃO MARCELO PEREIRA - ICB ; DURHAM, ALAN MITCHELL - IME ; GRUBER, ARTHUR - ICB
- Unidades: ICB; IME
- DOI: 10.2147/AGG.S136574
- Assunto: PARASITOLOGIA
- Language: Inglês
- Imprenta:
- Publisher place: Macclesfield
- Date published: 2017
- Source:
- Título do periódico: Advances in Genomics and Genetics
- ISSN: 1179-9870
- Volume/Número/Paginação/Ano: v. 7, p. 29-45, 2017
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc
-
ABNT
REYES, Alejandro et al. Use of profile hidden Markov models in viral discovery: current insights. Advances in Genomics and Genetics, v. 7, p. 29-45, 2017Tradução . . Disponível em: https://doi.org/10.2147/AGG.S136574. Acesso em: 19 abr. 2024. -
APA
Reyes, A., Alves, J. M. P., Durham, A. M., & Gruber, A. (2017). Use of profile hidden Markov models in viral discovery: current insights. Advances in Genomics and Genetics, 7, 29-45. doi:10.2147/AGG.S136574 -
NLM
Reyes A, Alves JMP, Durham AM, Gruber A. Use of profile hidden Markov models in viral discovery: current insights [Internet]. Advances in Genomics and Genetics. 2017 ; 7 29-45.[citado 2024 abr. 19 ] Available from: https://doi.org/10.2147/AGG.S136574 -
Vancouver
Reyes A, Alves JMP, Durham AM, Gruber A. Use of profile hidden Markov models in viral discovery: current insights [Internet]. Advances in Genomics and Genetics. 2017 ; 7 29-45.[citado 2024 abr. 19 ] Available from: https://doi.org/10.2147/AGG.S136574 - EGene: a configurable pipeline generation system for automated sequence analysis
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Informações sobre o DOI: 10.2147/AGG.S136574 (Fonte: oaDOI API)
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