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Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing

View ORCID ProfileSimone Marini, Rodrigo A. Mora, Christina Boucher, View ORCID ProfileNoelle Noyes, Mattia Prosperi
doi: https://doi.org/10.1101/2021.11.03.467126
Simone Marini
1Department of Epidemiology, University of Florida
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  • For correspondence: simone.marini@ufl.edu
Rodrigo A. Mora
1Department of Epidemiology, University of Florida
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Christina Boucher
2Department of Computer and Information Science and Engineering, University of Florida
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Noelle Noyes
3Department of Veterinary Population Medicine, University of Minnesota
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Mattia Prosperi
1Department of Epidemiology, University of Florida
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  • For correspondence: simone.marini@ufl.edu
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Posted January 11, 2022.
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Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing
Simone Marini, Rodrigo A. Mora, Christina Boucher, Noelle Noyes, Mattia Prosperi
bioRxiv 2021.11.03.467126; doi: https://doi.org/10.1101/2021.11.03.467126
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Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing
Simone Marini, Rodrigo A. Mora, Christina Boucher, Noelle Noyes, Mattia Prosperi
bioRxiv 2021.11.03.467126; doi: https://doi.org/10.1101/2021.11.03.467126

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