Harnessing machine learning to guide phylogenetic-tree search algorithms

Inferring a phylogenetic tree is a fundamental challenge in evolutionary studies. Current paradigms for phylogenetic tree reconstruction rely on performing costly likelihood optimizations. With the aim of making tree inference feasible for problems involving more than a handful of sequences, inferen...

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Detalles Bibliográficos
Autores principales: Azouri, Dana, Abadi, Shiran, Mansour, Yishay, Mayrose, Itay, Pupko, Tal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012635/
https://www.ncbi.nlm.nih.gov/pubmed/33790270
http://dx.doi.org/10.1038/s41467-021-22073-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012635/
https://www.ncbi.nlm.nih.gov/pubmed/33790270
http://dx.doi.org/10.1038/s41467-021-22073-8

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