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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| 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 |