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Abstract

Whole genome sequencing (WGS) is a powerful tool for public health infectious disease investigations owing to its higher resolution, greater efficiency, and cost-effectiveness over traditional genotyping methods. Implementation of WGS in routine public health microbiology laboratories is impeded by a lack of user-friendly automated and semi-automated pipelines, restrictive jurisdictional data sharing policies, and the proliferation of non-interoperable analytical and reporting systems. To address these issues, we developed the Integrated Rapid Infectious Disease Analysis (IRIDA) platform (irida.ca), a user-friendly, decentralized, open-source bioinformatics and analytical web platform to support real-time infectious disease outbreak investigations using WGS data. Instances can be independently installed on local high-performance computing infrastructure, enabling private and secure data management and analyses according to organizational policies and governance. IRIDAs data management capabilities enable secure upload, storage and sharing of all WGS data and metadata. The core platform currently includes pipelines for quality control, assembly, annotation, variant detection, phylogenetic analysis, in silico serotyping, multi-locus sequence typing, and genome distance calculation. Analysis pipeline results can be visualized within the platform through dynamic line lists and integrated phylogenomic clustering for research and discovery, and for enhancing decision-making support and hypothesis generation in epidemiological investigations. Communication and data exchange between instances are provided through customizable access controls. IRIDA complements centralized systems, empowering local analytics and visualizations for genomics-based microbial pathogen investigations. IRIDA is currently transforming the Canadian public health ecosystem and is freely available at https://github.com/phac-nml/irida and www.irida.ca.\n\nImpact StatementWhole genome sequencing (WGS) is revolutionizing infectious disease analysis and surveillance due to its cost effectiveness, utility, and improved analytical power. To date, no \"one-size-fits-all\" genomics platform has been universally adopted, owing to differences in national (and regional) health information systems, data sharing policies, computational infrastructures, lack of interoperability and prohibitive costs. The Integrated Rapid Infectious Disease Analysis (IRIDA) platform is a user-friendly, decentralized, open-source bioinformatics and analytical web platform developed to support real-time infectious disease outbreak investigations using WGS data. IRIDA empowers public health, regulatory and clinical microbiology laboratory personnel to better incorporate WGS technology into routine operations by shielding them from the computational and analytical complexities of big data genomics. IRIDA is now routinely used as part of a validated suite of tools to support outbreak investigations in Canada. While IRIDA was designed to serve the needs of the Canadian public health system, it is generally applicable to any public health and multi-jurisdictional environment. IRIDA enables localized analyses but provides mechanisms and standard outputs to enable data sharing. This approach can help overcome pervasive challenges in real-time global infectious disease surveillance, investigation and control, resulting in faster responses, and ultimately, better public health outcomes.\n\nDATA SUMMARYO_LIData used to generate some of the figures in this manuscript can be found in the NCBI BioProject PRJNA305824.\nC_LI

Abstract summary

Claude Opus 5.5 · xhigh effort · 18 Oct 2026 · from the abstract · CC BY-NC-ND 4.0

A decentralized open-source web platform lets public health labs run outbreak sequencing pipelines on local compute, keeping data under their own governance while still exchanging results between instances.

Routine whole genome sequencing (WGS) in public health microbiology is held back by missing automated pipelines, jurisdictional restrictions on sharing, and analysis and reporting systems that do not interoperate. IRIDA answers this with per-organization installs on local computing infrastructure, a bundled set of microbial typing and phylogenomic pipelines, and access-controlled exchange between instances, which the authors position as complementing centralized systems.

Key results

  1. ClaimedThe platform bundles pipelines for the sequence-analysis steps of an outbreak investigation, with results rendered as dynamic line lists and phylogenomic clustering.

    Bundled pipelines run quality control, assembly and annotation, variant detection, genome distance, multi-locus sequence typing, in silico serotyping and phylogenetic analysis; no runtimes, versions or concordance figures are given for any of them. · Abstract

  2. ClaimedA decentralized deployment model keeps sequence data and metadata inside the owning organization while still permitting exchange.

    Instances install independently on local high-performance computing infrastructure, so storage and analysis follow local governance; communication between instances runs through customizable access controls. No deployment counts or data-transfer evaluation are reported. · Abstract

  3. ClaimedThe platform is reported to be in routine operational use for Canadian outbreak investigations as part of a validated tool suite.

    Stated in the impact statement without naming the validation, the outbreaks handled, or the number of installed instances or laboratories. · Abstract

Methods, data and reproducibility

An open-source web platform for outbreak investigation from sequencing data: each organization installs its own instance on local high-performance computing, uploads WGS data and metadata under its own access controls, runs the bundled microbial genomics pipelines, and reviews output as dynamic line lists and phylogenomic clustering, with customizable exchange between instances.

  • sequencing data behind some of the manuscript figures · NCBI BioProject PRJNA305824
Methods & tools
IRIDA
Assay conditions & compute
Instances are described as installable on local high-performance computing infrastructure; no hardware specification, runtime or memory requirement is stated.
Reproducibility gaps
The only dataset pointer is an NCBI BioProject accession for figure data, given without a URL; no platform version, container or pipeline version list appears in the abstract.
Limitations (3)
  • The authors note the platform was designed around the Canadian public health system, arguing rather than demonstrating that it generalizes to other multi-jurisdictional settings. · stated by the authors
  • No performance evidence is offered: no runtimes, no accuracy or concordance figures for the typing and phylogenetic pipelines, and no comparison with other genomics platforms. · noted in this summary
  • Running an instance presumes access to local high-performance computing, which is itself one of the barriers the paper identifies for routine laboratories. · noted in this summary

Read this if you run or support a public health sequencing laboratory that needs outbreak typing and phylogenomics on local infrastructure with controlled sharing.

Citations
58

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