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

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

Pseudomonas aeruginosa is a clinically important Gram-negative opportunistic pathogen. P. aeruginosa shows a large degree of genomic heterogeneity both through variation in sequences found throughout the species (core genome) and through the presence or absence of sequences in different isolates (ac...

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Bibliographic Details
Main Authors: 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
Language:English
Published: American Society for Microbiology 2020-08-01
Series:mBio
Subjects:
pseudomonas aeruginosa
genome analysis
machine learning
modeling
prediction
virulence
Online Access:https://doi.org/10.1128/mBio.01527-20

Internet

https://doi.org/10.1128/mBio.01527-20

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