ArticlemSystems2026
Empowering global disease surveillance with CURED: a tool for rapid identification of unique genomic biomarkers.
Article in mSystems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Seqwin: ultrafast identification of signature sequences in microbial genomes.Bioinformatics (Oxford, England) · 2026Article
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
Rapid tracking of emerging pathogenic microorganisms is crucial for designing effective treatment, infection control, and prevention strategies. While whole-genome sequencing (WGS) offers the necessary granularity to track emerging clones, it remains prohibitively expensive at the scales needed to monitor with high resolution in real time. We present CURED (Classification Using Restriction Enzyme Diagnostics), which uses a training set of sequenced genomes to identify unique k-mers with restriction sites specific to a clonal lineage. CURED enables fast and inexpensive PCR-based diagnostic tests for surveillance or outbreak investigations with minimal use of WGS. Benchmarking against existing tools, CURED compares favorably and scales more efficiently than other k-mer search strategies. We validated and tested CURED in five distinct data sets: (i) previously identified biomarkers described for a methicillin-resistant
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Registered trials
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