Inferring population genetics parameters of evolving viruses using time-series data

With the advent of deep sequencing techniques, it is now possible to track the evolution of viruses with ever-increasing detail. Here, we present Flexible Inference from Time-Series (FITS)—a computational tool that allows inference of one of three parameters: the fitness of a specific mutation, the...

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Detalles Bibliográficos
Autores principales: Zinger, Tal, Gelbart, Maoz, Miller, Danielle, Pennings, Pleuni S, Stern, Adi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555871/
https://www.ncbi.nlm.nih.gov/pubmed/31191979
http://dx.doi.org/10.1093/ve/vez011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555871/
https://www.ncbi.nlm.nih.gov/pubmed/31191979
http://dx.doi.org/10.1093/ve/vez011

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