Genotyping SARS-CoV-2 through an interactive web application
Lancet Digit Health
.
2020 Jul;2(7):e340-e341.
doi: 10.1016/S2589-7500(20)30140-0.
Epub 2020 Jun 12.
Authors
Hassaan Maan
1
2
,
Hamza Mbareche
3
4
,
Amogelang R Raphenya
5
6
,
Arinjay Banerjee
7
8
,
Jalees A Nasir
5
6
,
Robert A Kozak
3
,
Natalie Knox
9
10
,
Samira Mubareka
3
4
,
Andrew G McArthur
5
6
,
Bo Wang
1
2
11
12
Affiliations
1
Vector Institute for Artificial Intelligence, Toronto, ON, Canada.
2
Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada.
3
Division of Microbiology, Department of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
4
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
5
Michael G DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada.
6
Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.
7
McMaster Immunology Research Centre, McMaster University, Hamilton, ON, Canada.
8
Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.
9
National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada.
10
Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada.
11
Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
12
CIFAR AI Chairs Program, Toronto, ON, Canada.
PMID:
32835191
PMCID:
PMC7292579
DOI:
10.1016/S2589-7500(20)30140-0
No abstract available
MeSH terms
COVID-19 / virology*
Genome, Viral / genetics
Genotyping Techniques* / methods
Humans
Internet*
SARS-CoV-2 / genetics*
Software