EvoLSTM: context-dependent models of sequence evolution using a sequence-to-sequence LSTM

MOTIVATION: Accurate probabilistic models of sequence evolution are essential for a wide variety of bioinformatics tasks, including sequence alignment and phylogenetic inference. The ability to realistically simulate sequence evolution is also at the core of many benchmarking strategies. Yet, mutati...

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Detalles Bibliográficos
Autores principales: Lim, Dongjoon, Blanchette, Mathieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Population Genomics and Molecular Evolution
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355264/
https://www.ncbi.nlm.nih.gov/pubmed/32657367
http://dx.doi.org/10.1093/bioinformatics/btaa447

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355264/
https://www.ncbi.nlm.nih.gov/pubmed/32657367
http://dx.doi.org/10.1093/bioinformatics/btaa447

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