Author

Koen Vandelannoote

Institut Pasteur du CambodgeORCID 0000-0001-8367-4083Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Microbiology· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Research Focus:database / resource· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Andrew H. BuultjensiD· 2 shared Ayorinde O. AfolayaniD· 2 shared David M. AanenseniD· 2 shared Iruka N. OkekeiD· 2 shared Timothy Paul StineariD· 2 shared Aamer IkramiD· 1 shared Abraham AseffaiD· 1 shared Adam A. WitneyiD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersMicrobiology

Andrew H. BuultjensORCID

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Author profile →

4 papers

Recent·Most cited

Defining new Buruli ulcer endemic areas in urban southeastern Australia using bacterial genomics-informed possum excreta surveys

Andrew H. Buultjens, Koen Vandelannoote, Jessica L. Porter, Stephen Muhi, Emma C. Hobbs, Catarina Agostinho Antão, Ee Laine Tay, Jake A. Lacey, Norelle L. Sherry, Maria Globan, Caroline J. Lavender, Anna Louise Meredith, Paul D. R. Johnson, Katherine B. Gibney, Timothy Paul Stinear

Applied and Environmental Microbiology · Nov 18, 2025Peer-reviewedMicrobiology

The TyphiNET data visualisation dashboard: Unlocking Salmonella Typhi genomics data to support public health

Zoe A. Dyson, Louise Cerdeira, Vandana Sharma, Megan E. Carey, Kathryn E. Holt, David M. Aanensen, Ali H. Abbas, Antoine G. Abou Fayad, Ayorinde O. Afolayan, Niyaz Ahmed, Irshad Ahmed, Afreenish Amir, Saadia Andleeb, Silvia Argimón, Abraham Aseffa, , Jackie Wright

The paper introduces TyphiNET, a dashboard for exploring Typhi genomics data to support public health decisions on antimicrobial resistance and vaccine implementation.

Genome Medicine · May 9, 2025Peer-reviewedMicrobiology

hAMRonization: Enhancing antimicrobial resistance prediction using the PHA4GE AMR detection specification and tooling

Catarina Inês Mendes, Emma Griffiths, Alexander Manuele, Daniel Fornika, Simon H. Tausch, Thanh Le-Viet, Jody Emile Phelan, Conor Joseph Meehan, Amogelang R. Raphenya, Brian P. Alcock, Elizabeth J. Culp, Federico Lorenzo, María Sol Haim, Adam A. Witney, Allison Black, , Finlay Maguire

hAMRonization standardizes AMR gene detection outputs from multiple tools into a unified format for easier analysis and integration.

bioRxiv · Mar 7, 2024 · PreprintBioinformatics

High performance Legionella pneumophila source attribution using genomics-based machine learning classification

Andrew H. Buultjens, Koen Vandelannoote, Karolina Mercoulia, Susan A. Ballard, Clare Sloggett, Benjamin P. Howden, Torsten Seemann, Timothy Paul Stinear

This paper develops a machine learning method to accurately attribute Legionella pneumophila outbreaks to environmental sources using genomic data, outperforming traditional phylogenetic approaches.

Applied and Environmental Microbiology · Jan 30, 2024Peer-reviewedBioinformatics