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Integrating patient and whole genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses
View ORCID ProfileEmily J. Goldstein, View ORCID ProfileWilliam T. Harvey, Gavin S. Wilkie, Samantha J. Shepherd, Alasdair R. MacLean, Pablo R. Murcia, Rory N. Gunson
doi: https://doi.org/10.1101/121434
Emily J. Goldstein
1West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
William T. Harvey
2Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
Gavin S. Wilkie
3Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
Samantha J. Shepherd
1West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
Alasdair R. MacLean
1West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
Pablo R. Murcia
3Medical Research Council-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
Rory N. Gunson
1West of Scotland Specialist Virology Centre, Glasgow, United Kingdom
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Posted March 28, 2017.
Integrating patient and whole genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses
Emily J. Goldstein, William T. Harvey, Gavin S. Wilkie, Samantha J. Shepherd, Alasdair R. MacLean, Pablo R. Murcia, Rory N. Gunson
bioRxiv 121434; doi: https://doi.org/10.1101/121434
Integrating patient and whole genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses
Emily J. Goldstein, William T. Harvey, Gavin S. Wilkie, Samantha J. Shepherd, Alasdair R. MacLean, Pablo R. Murcia, Rory N. Gunson
bioRxiv 121434; doi: https://doi.org/10.1101/121434
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