ArticleMicrobial genomics2026
Nanopore sequencing enables highly accurate genotyping and identification of resistance determinants in key nosocomial pathogens.
Article in Microbial genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Real-time genomic pathogen, resistance, and host range characterization from passive water sampling of wetland ecosystems.Applied and environmental microbiology · 2026Article
- Profiling the Athletes' Gut Microbiome: A Critical Methodological Perspective on 16S Metabarcoding and Shotgun Metagenomics.Biology · 2026Review
- Review
- Current status and prospects of nanopore sequencing technology in the detection of pathogenic microorganisms.Frontiers in microbiology · 2026Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whole-genome sequencing of bacterial pathogens can positively impact infectious disease management in clinical contexts, both in individual settings and by assisting infection prevention efforts. However, logistical issues have often prevented its translation into clinical settings. Oxford Nanopore Technologies (ONT) platforms are flexible and affordable and now offer accuracy comparable to other sequencing platforms, making them uniquely well-suited for clinical bacterial isolate sequencing. We sought to determine the best methods for implementing ONT sequencing into clinical settings by benchmarking multi-locus sequence typing (MLST), core genome multi-locus sequence typing (cgMLST), antimicrobial resistance (AMR) and core genome SNP (cgSNP) typing against the genomic automated gold standard. We sequenced 199
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