Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
16 Feb 2022
16 Feb 2022
Historique:
entrez:
23
2
2022
pubmed:
24
2
2022
medline:
24
2
2022
Statut:
epublish
Résumé
Repeated emergence of SARS-CoV-2 variants with increased fitness necessitates rapid detection and characterization of new lineages. To address this need, we developed PyR A Bayesian hierarchical model of all SARS-CoV-2 viral genomes predicts lineage fitness and identifies associated mutations.
Identifiants
pubmed: 35194619
doi: 10.1101/2021.09.07.21263228
pmc: PMC8863165
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NIAID NIH HHS
ID : R37 AI147868
Pays : United States
Commentaires et corrections
Type : UpdateIn
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