A Genome-Based Model to Predict the Virulence of <named-content content-type="genus-species">Pseudomonas aeruginosa</named-content> Isolates

ABSTRACT Variation in the genome of Pseudomonas aeruginosa, an important pathogen, can have dramatic impacts on the bacterium’s ability to cause disease. We therefore asked whether it was possible to predict the virulence of P. aeruginosa isolates based on their genomic content. We applied a machine...

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Auteurs principaux: Nathan B. Pincus, Egon A. Ozer, Jonathan P. Allen, Marcus Nguyen, James J. Davis, Deborah R. Winter, Chih-Hsien Chuang, Cheng-Hsun Chiu, Laura Zamorano, Antonio Oliver, Alan R. Hauser
Format: article
Langue:EN
Publié: American Society for Microbiology 2020
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Accès en ligne:https://doaj.org/article/1908f46e3086477ca33102afad2a73da
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