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

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Serval ID
serval:BIB_6A5FAF35CECE
Type
Article: article from journal or magazin.
Collection
Publications
Institution
UNIL/CHUV
Title
Want to track pandemic variants faster? Fix the bioinformatics bottleneck.
Journal
Nature
Author(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
Publication state
Published
Issued date
03/2021
Volume
591
Number
7848
Pages
30-33
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Keywords
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
Create date
10/03/2021 10:08
Last modification date
11/03/2021 7:28
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