Want to track pandemic variants faster? Fix the bioinformatics bottleneck.

Détails

Demande d'une copieDemande d'une copie
ID Serval
serval:BIB_6A5FAF35CECE
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
UNIL/CHUV
Titre
Want to track pandemic variants faster? Fix the bioinformatics bottleneck.
Périodique
Nature
Auteur⸱e⸱s
Hodcroft E.B., De Maio N., Lanfear R., MacCannell D.R., Minh B.Q., Schmidt H.A., Stamatakis A., Goldman N., Dessimoz C.
ISSN
1476-4687 (Electronic)
ISSN-L
0028-0836
Statut éditorial
Publié
Date de publication
03/2021
Volume
591
Numéro
7848
Pages
30-33
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Mots-clé
Animals, Automation/methods, Basic Reproduction Number, COVID-19/epidemiology, COVID-19/immunology, COVID-19/transmission, COVID-19/virology, COVID-19 Vaccines/immunology, Evolution, Molecular, Genome, Viral/genetics, Genomics/methods, Genomics/trends, Humans, Mink/virology, Mutation, Pandemics/statistics & numerical data, Phylogeny, Public Health/methods, Public Health/trends, SARS-CoV-2/genetics, SARS-CoV-2/immunology, SARS-CoV-2/isolation & purification, SARS-CoV-2/pathogenicity, Social Media, Uncertainty, Bioinformatics, Genomics, Public health, SARS-CoV-2
OAI-PMH
oai:serval.unil.ch:BIB_6A5FAF35CECE
DOI
10.1038/d41586-021-00525-x
Pubmed
33649511
Création de la notice
10/03/2021 10:08
Dernière modification de la notice
11/03/2021 7:28
Données d'usage