SourceRunnerML
cgMLST-based Campylobacter source attribution with model comparison, grouped validation, bootstrap uncertainty and post-processing.
Open SourceRunnerMLResources
Software
cgMLST-based Campylobacter source attribution with model comparison, grouped validation, bootstrap uncertainty and post-processing.
Open SourceRunnerMLInterpretable prediction of antimicrobial-resistance phenotypes from bacterial genomes using determinants, background and population structure.
Open BAMPSPopulation-aware exploration of pangenome structure, accessory variation, ecological signal and gene-family sharing.
Open PANOPTICONHierarchical analysis of LIN-code population structure, reservoir diversity, MLST concordance and interspecies introgression.
Open LINwalkerConservative assignment of Acinetobacter baumannii international clones using core-genome phylogenies and retained uncertainty.
Open ICassignerBrowse current software, analysis repositories, training material and the version-controlled lab website.
View all repositoriesRecently updated
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Public analysis, software or training repository.
Open repositorySourceRunnerML is an advanced machine learning pipeline for microbial source attribution using (cg)MLST data.
Open repositoryPublic analysis, software or training repository.
Open repositoryPublic analysis, software or training repository.
Open repositoryMaterial for Hu_RIZON project workshop in Debrecen, 2026
Open repositoryMEMENTO integrates methylation calls, genome sequence, methyltransferase repertoires, phase-variable loci and isolate metadata to identify methylotypes and their genomic and ecological determinants.
Open repositoryProtocols and platforms
Culture, identification, DNA extraction and harmonised laboratory workflows.
Open protocols.ioShort- and long-read sequencing workflows and associated quality control.
Open protocols.ioStable lineage nomenclature and linked typing resources for genomic surveillance.
Visit PubMLSTProject websites, meeting resources and developing analysis workflows.
Open organisationScience, protocols, consortium, governance, training and communication pages.
Visit CCCDownload the bacterium mark and horizontal lock-up for presentations, posters and profile images.
Open logo filesAnalytical checkpoints
Reusable analysis is not only about software. These recurring checkpoints help connect quality control, population structure and uncertainty to the biological question being asked.
Input requirements, contamination checks, assembly metrics and reproducible reporting.
Choosing thresholds, diagnosing failed clusters and preparing phylogenetic input.
Recombination-aware analysis, lineage annotation and figure-ready metadata.
Separating determinant detection, phenotype association and population-genomic evidence.
Training design, grouped validation, class imbalance, contextual data and uncertainty.
Principles
Changes are visible and older analyses remain reproducible.
Dependencies and compute requirements are explicit.
The biological purpose and assumptions are documented.
A named project or person is responsible for maintenance.