ArticleBMC bioinformatics2024
AMRViz enables seamless genomics analysis and visualization of antimicrobial resistance.
Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- FTIR typing of the emerging NDM-14-producingJournal of clinical microbiology · 2026Article
- PeGAS: a versatile bioinformatics pipeline for antimicrobial resistance, virulence and pangenome analysis.Bioinformatics advances · 2025Article
- Whole-Genome Sequencing Reveals Temporal Trends in Antibiotic Resistance Genes inAntibiotics (Basel, Switzerland) · 2024Article
- Efficient inference of large prokaryotic pangenomes with PanTA.Genome biology · 2024Article
- AMRomics: a scalable workflow to analyze large microbial genome collections.BMC genomics · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
We have developed AMRViz, a toolkit for analyzing, visualizing, and managing bacterial genomics samples. The toolkit is bundled with the current best practice analysis pipeline allowing researchers to perform comprehensive analysis of a collection of samples directly from raw sequencing data with a single command line. The analysis results in a report showing the genome structure, genome annotations, antibiotic resistance and virulence profile for each sample. The pan-genome of all samples of the collection is analyzed to identify core- and accessory-genes. Phylogenies of the whole genome as well as all gene clusters are also generated. The toolkit provides a web-based visualization dashboard allowing researchers to interactively examine various aspects of the analysis results. Availability: AMRViz is implemented in Python and NodeJS, and is publicly available under open source MIT license at https://github.com/amromics/amrviz .
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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.