ReviewCurrent opinion in infectious diseases2025
Genome-wide approaches to bacterial strain typing: a history and review of recent methodological advances.
Review in Current opinion in infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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
10 citing papers in PubMed.
- Genetic Diversity and Hospital Circulation of Opportunistic Pathogens in COVID-19 ICUs: Whole-Genome Sequencing Data.Pathogens (Basel, Switzerland) · 2026Article
- Genomic characterization and pathogenicity validation of Mycoplasma ovipneumoniae strains from diseased sheep: insights into potential pathogenic mechanisms of GSWW364.Veterinary research · 2026Article
- Microbial biobanking: safeguarding the tiny treasures for sustainable human welfare.Folia microbiologica · 2026Review
- Strategies for integrating whole-genome sequencing into antimicrobial resistance surveillance.BMC genomics · 2026Review
- A standardized core genome multilocus sequence typing and life identification number barcoding framework for globalMicrobial genomics · 2026Article
- Global genomic landscape ofApplied and environmental microbiology · 2026Article
- Evolution and rise of antimicrobial resistance in key public health bacteria within and across the One Health sectors.Future microbiology · 2026Review
- Ribotyping for Accurate Identification of Infectious Bacteria in Animal-Derived Foods and Laboratory Samples: Implications for Human Health.Journal of tropical medicine · 2026Review
- Article
- From cognition to response: clinical challenges, antibiotic resistance mechanisms, and prevention and control strategies ofFrontiers in microbiology · 2026Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purpose of reviewWhole genome sequencing (WGS) has transformed bacterial strain typing, an essential tool for outbreak detection, antimicrobial resistance surveillance, and tracking clonal emergence across clinical, research, and public health settings. Herein, we will review recent advances in WGS-based bacterial strain typing methods for purposes of comparison and classification with a focus on improvements in variant identification, strain classification, and transmission assessment. RECENT
findingsAdvances in sequencing technologies as well as variant calling methodologies and parameter optimization have enhanced the precision and accuracy of single nucleotide variant identification. Hierarchical clustering of gene-by-gene strain typing, combined with novel data management and classification strategies, has improved standardized pathogen typing schemes in an effort to streamline inter-laboratory comparison. Additionally, novel approaches to defining transmission thresholds now better account for species-specific traits, while progress in metagenomic sequencing enables strain identification and tracking within mixed microbial communities. SUMMARY: Recent developments have enhanced the accuracy, portability, scalability, and standardization of bacterial typing methods, integrating variant calling and gene-by-gene approaches into unified genotyping systems. However, challenges still remain in nomenclature consistency, inter-laboratory variant calling compatibility, and capturing bacterial heterogeneity. Future work should focus on refining genotyping frameworks to enhance surveillance and optimize detection of pathogen transmission while accounting for microbial diversity across various environments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.