Cargando…
Accommodating individual travel history and unsampled diversity in Bayesian phylogeographic inference of SARS-CoV-2
Spatiotemporal bias in genome sampling can severely confound discrete trait phylogeographic inference. This has impeded our ability to accurately track the spread of SARS-CoV-2, the virus responsible for the COVID-19 pandemic, despite the availability of unprecedented numbers of SARS-CoV-2 genomes....
Autores principales: | Lemey, Philippe, Hong, Samuel L., Hill, Verity, Baele, Guy, Poletto, Chiara, Colizza, Vittoria, O’Toole, Áine, McCrone, John T., Andersen, Kristian G., Worobey, Michael, Nelson, Martha I., Rambaut, Andrew, Suchard, Marc A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547076/ https://www.ncbi.nlm.nih.gov/pubmed/33037213 http://dx.doi.org/10.1038/s41467-020-18877-9 |
Ejemplares similares
-
Accommodating individual travel history, global mobility, and unsampled diversity in phylogeography: a SARS-CoV-2 case study.
por: Lemey, Philippe, et al.
Publicado: (2020) -
Online Bayesian Phylodynamic Inference in BEAST with Application to Epidemic Reconstruction
por: Gill, Mandev S, et al.
Publicado: (2020) -
Bayesian Inference of Evolutionary Histories under Time-Dependent Substitution Rates
por: Membrebe, Jade Vincent, et al.
Publicado: (2019) -
SPREAD 4: online visualisation of pathogen phylogeographic reconstructions
por: Nahata, Kanika D, et al.
Publicado: (2022) -
Accommodating sampling location uncertainty in continuous phylogeography
por: Dellicour, Simon, et al.
Publicado: (2022)