Pathogens, AMR and genomic epidemiology

Challenge:

Pathogen genomic data can be difficult to interpret when combining epidemiological surveillance, antimicrobial resistance, clinical metadata and microbiological results. Without a reproducible analytical framework, traceability, comparability across samples and biological insight are often compromised.

Solution:

We develop bioinformatics analyses to characterize microorganisms using WGS, identify genes and mutations associated with antimicrobial resistance, explore genomic relationships between isolates and support molecular surveillance studies.

We work on:

• Genomic characterization of pathogens using WGS

• Antimicrobial resistance (AMR) analysis

• Molecular epidemiology and surveillance

• Interpretation of microbiological data in clinical context

• Bioinformatics support for translational studies

Impact:

We transform complex microbiological data into clear, traceable and actionable insights for research, surveillance and decision-making in public health and clinical settings.