antimicrobial-resistance

Genomic comparison and phenotypic characterization of Pseudomonas aeruginosa isolates across environmental and diverse clinical isolation sites

Pseudomonas aeruginosa is a clinically significant, opportunistic pathogen adept at thriving in both host-associated and environmental settings. We sought to define the extent to which P. aeruginosa isolates specialize across niches using a …

From sequence to signature: Uncovering multiscale AMR features across bacterial pathogens with supervised machine learning

Since the clinical introduction of antibiotics in the 1940s, antimicrobial resistance (AMR) has become an increasingly dire threat to global public health. Pathogens acquire AMR much faster than we discover new drugs (antibiotics), warranting …

Unlocking antimicrobial resistance with multiomics and machine learning

The global antimicrobial resistance (AMR) emergency is driven by complex and evolving molecular mechanisms. Cutting-edge machine learning methods and multiomics technologies can help to combat this crisis by predicting novel AMR biomarkers and …

amR: an R package suite to predict antimicrobial resistance in bacterial pathogens

EB and AG are co-primary authors.