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 BAMPS-MLPopulation-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 repositoriesProtocols 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 filesLab guides
Rather than burying instructions inside a general “lab guides” page, future additions should be short, versioned guides with an owner, last-updated date, prerequisites and links to the underlying protocol or repository.
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.