ArticleMicrobial genomics2016
Microreact: visualizing and sharing data for genomic epidemiology and phylogeography.
Article in Microbial genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 541 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
541 citing papers in PubMed.
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- Whole-Genome Analysis Reveals Antimicrobial Resistance and Population Structure of Environmental and VeterinaryInternational journal of molecular sciences · 2026Article
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- Recombination and accessory genome turnover shaped the rise and decline of vanA Enterococcus faecium ST80 in Denmark.Genome medicine · 2026Article
- Genetic diversity of the Chikungunya virus E2 gene may have implications for the design of vaccines and therapeutic antibodies.Virus genes · 2026Article
- Phenotypic and genotypic characterization ofJAC-antimicrobial resistance · 2026Article
- Genomic signatures associated with epidemiologically defined high-risk pathogenic Escherichia coli isolates identified by interpretable machine learning.Journal of microbiology (Seoul, Korea) · 2026Article
- Diversity of insect-specific viruses in Culex mosquitoes from Papua New Guinea.Virology journal · 2026Article
- Fast and inexpensive visualization of genome collection at scale.BMC bioinformatics · 2026Article
- Dietary emulsifiers and host inflammation synergistically drive genomic evolution of Crohn's disease-associated Escherichia coli toward enhanced pathogenicity.Journal of Crohn's & colitis · 2026Article
- Large-Scale Genomics Reveals Three-Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Ovine epididymitis - a neglected notifiable disease in Germany: a case report.BMC veterinary research · 2026Article
- Genomic characterisation of Enterococcus cecorum isolated from broiler chickens in the United Kingdom.Poultry science · 2026Article
- Pre-clinical efficacy of a candidate outer membrane vesicle gonococcal vaccine in comparison with 4CMenB.NPJ vaccines · 2026Article
- A standardized core genome multilocus sequence typing and life identification number barcoding framework for globalMicrobial genomics · 2026Article
481 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Visualization is frequently used to aid our interpretation of complex datasets. Within microbial genomics, visualizing the relationships between multiple genomes as a tree provides a framework onto which associated data (geographical, temporal, phenotypic and epidemiological) are added to generate hypotheses and to explore the dynamics of the system under investigation. Selected static images are then used within publications to highlight the key findings to a wider audience. However, these images are a very inadequate way of exploring and interpreting the richness of the data. There is, therefore, a need for flexible, interactive software that presents the population genomic outputs and associated data in a user-friendly manner for a wide range of end users, from trained bioinformaticians to front-line epidemiologists and health workers. Here, we present Microreact, a web application for the easy visualization of datasets consisting of any combination of trees, geographical, temporal and associated metadata. Data files can be uploaded to Microreact directly via the web browser or by linking to their location (e.g. from Google Drive/Dropbox or via API), and an integrated visualization via trees, maps, timelines and tables provides interactive querying of the data. The visualization can be shared as a permanent web link among collaborators, or embedded within publications to enable readers to explore and download the data. Microreact can act as an end point for any tool or bioinformatic pipeline that ultimately generates a tree, and provides a simple, yet powerful, visualization method that will aid research and discovery and the open sharing of datasets.
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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.