ArticleNucleic acids research2026
AMRnet: a data visualization platform to interactively explore pathogen variants and antimicrobial resistance.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
3 citing papers in PubMed.
- The 2026 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2026Article
- Describing the outcomes and factors of using pathogen genomic results in public health.Frontiers in public health · 2026Article
- Cell-to-Cell and Patient-to-Patient Variability in Antimicrobial Resistance.Microorganisms · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Antimicrobial resistance (AMR) poses a substantial threat to global public health. Whole genome sequencing is increasingly used as a core method for pathogen characterization to support AMR surveillance. As a result, a vast amount of bacterial sequence data are available in public archives, yet the AMR-related information they encode is not readily accessible to those without bioinformatics expertise and is essentially invisible to policy makers. The AMRnet platform aims to make publicly available genome-derived AMR data accessible to a diverse user base. The underlying data are drawn from public genomic databases and used to calculate pooled estimates of national annual prevalence that can be visualized interactively, and broken down and explored in terms of underlying pathogen variants, resistance mechanisms, and geographic and temporal distributions. Users can download dynamically generated reports, summary and line-list data from the web-based dashboard (https://www.amrnet.org), and query the database via application programming interface. For selected organisms, data are curated for purpose of sampling, to reduce the public data bias towards sequencing of resistant or severe infections. By improving the accessibility and utility of publicly archived data, AMRnet aims to encourage wider sequencing initiatives and collaborative data-sharing efforts while providing crucial data insights for researchers and policy makers.
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Identifiers
What OpenQuestion holds
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.