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![]() ![]() 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. from Google Drive/Dropbox or via API), and an integrated visualization via trees, maps, timelines and tables provides interactive querying of the data. Data files can be uploaded to Microreact directly via the web browser or by linking to their location (e.g. Here, we present Microreact, a web application for the easy visualization of datasets consisting of any combination of trees, geographical, temporal and associated metadata. 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. However, these images are a very inadequate way of exploring and interpreting the richness of the data. Selected static images are then used within publications to highlight the key findings to a wider audience. 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. Visualization is frequently used to aid our interpretation of complex datasets.
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