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Shows genomic content predicts virulence in Pseudomonas aeruginosa isolates, suggesting potential for improved bacterial analysis.
isolates in a mouse bacteremia model based on genomic content. We show that both the accessory and core genomes are predictive of virulence. This study provides a machine learning framework to investigate relationships between bacterial genomes and complex phenotypes such as virulence.
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Pincus et al. (2020) studied this question.
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