Microreact: visualizing and sharing data for genomic epidemiology and phylogeography

Silvia Argimón, Khalil Abudahab, Richard J.E. Goater, Artemij Fedosejev, Jyothish Bhai, Corinna Glasner, Edward J. Feil, Matthew T.G. Holden, Corin A. Yeats, Hajo Grundmann, Brian G. Spratt, David M. Aanensen

Research output: Contribution to journalArticlepeer-review

399 Citations (SciVal)


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.

Original languageEnglish
Article numbere000093
JournalMicrobial Genomics
Issue number11
Publication statusPublished - 30 Nov 2016

Bibliographical note

This record is sourced from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


  • Open data
  • phylogenomics
  • phylogeography
  • population genomics
  • trees

ASJC Scopus subject areas

  • Epidemiology
  • Microbiology
  • Molecular Biology
  • Genetics


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