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Related Experiment Video

Updated: Mar 8, 2026

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
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Bringing the Dynamic Microbiome to Life with Animations.

Yoshiki Vázquez-Baeza1, Antonio Gonzalez2, Larry Smarr3

  • 1Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093-0404, USA.

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This study enhances EMPeror, a tool for microbiome data visualization. New interactive animations reveal microbial community dynamics over time, improving our understanding of these complex ecosystems.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Microbial communities, or microbiomes, are integral to ecosystems and human health.
  • Visualizing microbiome data is crucial for understanding community structure and dynamics.
  • Previous work introduced EMPeror for microbiome ordination visualization.

Purpose of the Study:

  • To enhance the EMPeror web application for microbiome data analysis.
  • To develop interactive animations for visualizing temporal microbiome shifts.
  • To improve the exploration of microbial community dynamics over time.

Main Methods:

  • Web-based application development.
  • Implementation of interactive animation features.
  • Integration of successive sample connections for temporal analysis.

Main Results:

  • Enhanced EMPeror application with novel animation capabilities.
  • Successful visualization of microbial community patterns over time.
  • Improved ability to explore dynamic microbiome changes.

Conclusions:

  • The enhanced EMPeror facilitates dynamic visualization of microbiome data.
  • Interactive animations offer new insights into temporal microbial community shifts.
  • This tool aids researchers in analyzing and interpreting longitudinal microbiome studies.