Antibiotic resistance is an increasing threat to human, veterinary, and agricultural health across the globe, increasingly rendering infectious diseases untreatable. Antibiotic resistance genes (ARGs) are found everywhere, affecting different environments including humans, livestock, food, and companion animals. For many ARGs, it remains unknown where they migrate and how.

The wealth of microbial sequence data accumulated in public databases provides valuable clues to help answer questions about the global mobility of genetic information. To identify migrating DNA, sequences can be compared between different samples, and their metadata mined to discover global trends.

This emphasizes the importance of new bioinformatic algorithms to analyze genomic big datasets, as well as FAIR data and metadata to facilitate new discoveries.

Addressing the challenges outlined above could streamline the process of uncovering global trends in ARG dissemination, providing valuable insights for policymakers. With a better understanding of antibiotic resistance patterns and transmission highways, informed decisions can be made to mitigate the impact on public health and formulate effective policies.

We cordially invite you to join us in Utrecht to discuss the path from raw data to policy making.

09.30 - 10.00

10.00 - 10.30

10.30 - 11.00

11.00 - 11.30

11.30 - 12:00

12.00 - 12.30

12.30 - 13.00

13.00 - 14.15

14.15 - 16.30

16.30 - 17.30

Registration (Plaza area)

Querying 500K+ genomes from across the world for Dutch resistance genes

Rick Beeloo, Utrecht Univeristy

Lessons and pitfalls in reading and comparing large numbers of global resistomes

Patrick Munk, Denmark Technical University

Coffee/Tea break (Plaza area)

Integrating AI and big data in MGnify for antimicrobial insights and AMR research

Santiago Fragoso, European Bioinformatics Institute

Internationally Integrated Genomic Surveillance to Detect Emerging Resistance in High and Low Income Settings

Tim Dallman, Utrecht University

Plasmid typing to track dissemination of antimicrobial resistance genes

Anita Schürch, University Medical Center Utrecht

Lunch (Plaza area)

Breakouts (Plaza area)

Borrel (Plaza area)

Join us!

Organizers

Co-organized by Utrecht University in collaboration with the KNVM Division Microbial Bioinformatics and KNVM Division Microbial Genomics

Utrecht University

Supported by