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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...
Autores principales: | Zinger, Tal, Gelbart, Maoz, Miller, Danielle, Pennings, Pleuni S, Stern, Adi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
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 |
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