Beyond similarity assessment: selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm

MOTIVATION: Pair Hidden Markov Models (PHMMs) are probabilistic models used for pairwise sequence alignment, a quintessential problem in bioinformatics. PHMMs include three types of hidden states: match, insertion and deletion. Most previous studies have used one or two hidden states for each PHMM s...

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Detalles Bibliográficos
Autores principales: Takeda, Taikai, Hamada, Michiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860613/
https://www.ncbi.nlm.nih.gov/pubmed/29040374
http://dx.doi.org/10.1093/bioinformatics/btx643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860613/
https://www.ncbi.nlm.nih.gov/pubmed/29040374
http://dx.doi.org/10.1093/bioinformatics/btx643

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