ArticleBMC bioinformatics2023
GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach.
Article in BMC bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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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
16 citing papers in PubMed.
- Clinical and genomic determinants associated with emergent ceftazidime-avibactam plus aztreonam non-susceptibility in ceftazidime-avibactam resistantAntimicrobial agents and chemotherapy · 2026Article
- Genetic diversity and drug resistance profiles ofMicrobiology spectrum · 2026Article
- Prevalence of Candidate Vaccine Targets and Genomic Features of Pediatric Invasive Streptococcus Agalactiae in Japan.The Journal of infectious diseases · 2026Article
- Genomic and ecological systems-thinking framework for pathogenicFrontiers in public health · 2026Article
- Intestinal colonisation with extended-spectrum beta-lactamase-producing Enterobacterales and the impact of selected factors on intestinal colonisation duration: a prospective cohort study.Antimicrobial resistance and infection control · 2025Article
- Tracking Global Transmission Dynamics of the Plasmid-MediatedMicroorganisms · 2025Article
- Genetic diversity and evolutionary adaptation of Clostridium paraputrificum, a rare pathogen in humans.Communications biology · 2025Article
- Snapshot Genomic Surveillance Reveals Insights into Antimicrobial Resistance and Lineage Diversity of Uropathogens in Older Adults in Queensland.Open forum infectious diseases · 2025Article
- The clinical impact and dissemination of carbapenemase-producingMicrobiology spectrum · 2025Article
- Tracking international and regional dissemination of the KPC/NDM co-producing Klebsiella pneumoniae.Nature communications · 2025Article
- Emerging carbapenem-resistantMicrobiology spectrum · 2025Article
- Genotypic drug resistance and transmission clusters of Mycobacterium tuberculosis isolates among Ethiopian returnees from Saudi Arabia.PloS one · 2025Article
- Molecular and clinical epidemiology of carbapenem resistantThe Lancet regional health. Western Pacific · 2024Article
- HAIviz: an interactive dashboard for visualising and integrating healthcare-associated genomic epidemiological data.Microbial genomics · 2024Article
- Environmental contamination with carbapenem resistantFrontiers in cellular and infection microbiology · 2024Article
- The re-emergence of sexually transmissible multidrug resistantnpj antimicrobials and resistance · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundCluster and transmission analysis utilising pairwise SNP distance are increasingly used in genomic epidemiological studies. However, current methods are often challenging to install and use, and lack interactive functionalities for easy data exploration.
resultsGraphSNP is an interactive visualisation tool running in a web browser that allows users to rapidly generate pairwise SNP distance networks, investigate SNP distance distributions, identify clusters of related organisms, and reconstruct transmission routes. The functionality of GraphSNP is demonstrated using examples from recent multi-drug resistant bacterial outbreaks in healthcare settings.
conclusionsGraphSNP is freely available at https://github.com/nalarbp/graphsnp . An online version of GraphSNP, including demonstration datasets, input templates, and quick start guide is available for use at https://graphsnp.fordelab.com .
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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.