Cargando…
Inferring selection effects in SARS-CoV-2 with Bayesian Viral Allele Selection
The global effort to sequence millions of SARS-CoV-2 genomes has provided an unprecedented view of viral evolution. Characterizing how selection acts on SARS-CoV-2 is critical to developing effective, long-lasting vaccines and other treatments, but the scale and complexity of genomic surveillance da...
Autores principales: | Jankowiak, Martin, Obermeyer, Fritz H., Lemieux, Jacob E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779722/ https://www.ncbi.nlm.nih.gov/pubmed/36508459 http://dx.doi.org/10.1371/journal.pgen.1010540 |
Ejemplares similares
-
Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness
por: Obermeyer, Fritz, et al.
Publicado: (2022) -
Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness
por: Obermeyer, Fritz, et al.
Publicado: (2022) -
Bayesian phylodynamic inference on the temporal evolution and global transmission of SARS-CoV-2
por: Li, Jianguo, et al.
Publicado: (2020) -
Inferring the Main Drivers of SARS‐CoV‐2 Global Transmissibility by Feature Selection Methods
por: Djordjevic, Marko, et al.
Publicado: (2021) -
Impact of Bayesian Inference on the Selection of Psidium guajava
por: da Silva, Flavia Alves, et al.
Publicado: (2020)