Inferring phylogenies from pandemic-scale genome datasets

Reconstructing phylogenetic trees from large collections of genome sequences is a computationally challenging task. We developed MAPLE, a method for performing phylogenetic inference on large numbers of closely related genomes, which might be useful when studying the evolution and spread of SARS-CoV...

Descripción completa

Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Research Briefing
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10092920/
https://www.ncbi.nlm.nih.gov/pubmed/37045912
http://dx.doi.org/10.1038/s41588-023-01370-6
Descripción
Sumario:Reconstructing phylogenetic trees from large collections of genome sequences is a computationally challenging task. We developed MAPLE, a method for performing phylogenetic inference on large numbers of closely related genomes, which might be useful when studying the evolution and spread of SARS-CoV-2 and of infectious pathogens in future pandemics.

Ejemplares similares