Predict antibiotic resistance from genome sequence

Our validated models can accurately predict the antibiotic resistance profile of bacterial pathogens

The use of genome sequence data to determine antibiotic resistance profiles can save you time (relative to laboratory protocols) and increase accuracy

  • Antimicrobial stewardship
  • Microbial diagnostics

  • Bacteria

  • Human
  • Veterinary
  • Environmental

Development stage:
  • Research
  • Development

  • Academia

  • License, Co-develop

Funding organisation:
  • FIND

Infectious disease area:
  • UTI
  • STI
  • RTI
  • GII

Geographic origin:
  • Eurasia

The Department of Infectious Disease Epidemiology is a leading academic group focused on infectious diseases worldwide.

We are currently extending our models to A. baumannii, E. coli, N. gonorrhoeae and S. pneumoniae, among other bacterial pathogens. We welcome collaborations with organisations that have genotype data labelled with drug resistance profiles available.

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