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: Advances in Genomics and Genetics
- ISSN: 1179-9870
- Volume/Número/Paginação/Ano: v. 7, p. 29-45, 2017
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
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: 01 abr. 2026. -
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 2026 abr. 01 ] 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 2026 abr. 01 ] Available from: https://doi.org/10.2147/AGG.S136574 - This book is the result of a long process that began with a series of Latin American Bioinformatics Training Courses for Tropical Disease Research. [Prefácio]
- Bioinformatics in tropical disease research: a practical and case-study approach
- TRAP: automated classification, quantification and annotation of tandemly repeated sequences
- EGene: a configurable pipeline generation system for automated sequence analysis
- The pangenome of the Anticarsia gemmatalis multiple nucleopolyhedrovirus (AgMNPV)
- Strain discrimination of Eimeria spp. of domestic fowl: application of RAPD, mitochondrial genomes and microsatellite markers for epizootiological studies
- Sequencing and analysis of chromosome 1 of Eimeria tenella reveals a unique segmental organization
- The Eimeria Transcript DB: an integrated resource for annotated transcripts of protozoan parasites of the genus Eimeria
- Characterization of SCAR markers of Eimeria spp. of domestic fowl and construction of a public relational database (The Eimeria SCARdb)
- A comparative transcriptome analysis reveals expression profiles conserved across three Eimeria spp. of domestic fowl and associated with multiple developmental stages
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