A Genome-Based Model to Predict the Virulence of Pseudomonas aeruginosa Isolates

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 learning...

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Detalles Bibliográficos
Autores principales: Pincus, Nathan B., Ozer, Egon A., Allen, Jonathan P., Nguyen, Marcus, Davis, James J., Winter, Deborah R., Chuang, Chih-Hsien, Chiu, Cheng-Hsun, Zamorano, Laura, Oliver, Antonio, Hauser, Alan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448275/
https://www.ncbi.nlm.nih.gov/pubmed/32843552
http://dx.doi.org/10.1128/mBio.01527-20

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