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Using flowViz to visualize flow cytometry data.

D Sarkar1, N Le Meur, R Gentleman

  • 1Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA. dsarkar@fhcrc.org

Bioinformatics (Oxford, England)
|February 5, 2008
PubMed
Summary
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This study introduces flowViz, an R package for visualizing flow cytometry (FCM) data. flowViz uses Trellis graphics principles to aid automated analysis, enhancing FCM

Area of Science:

  • Computational Biology
  • Data Visualization
  • Bioinformatics

Background:

  • Automated analysis of flow cytometry (FCM) data is crucial for its adoption as a high-throughput technology.
  • Effective data visualization is key to supporting and improving automated FCM data analysis.

Purpose of the Study:

  • To introduce the R/Bioconductor package flowViz.
  • To demonstrate how Trellis graphics principles can be adapted for FCM data visualization.
  • To facilitate the automation of FCM data analysis through enhanced visualization.

Main Methods:

  • Development of the flowViz R package.
  • Implementation of Trellis graphics principles for FCM data.
  • Integration within the Bioconductor project.

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Main Results:

  • flowViz provides useful visualizations for FCM data.
  • The visualizations aid in the automation of FCM data analysis.
  • The package is readily available for researchers.

Conclusions:

  • The flowViz package offers a valuable tool for visualizing FCM data.
  • Adaptation of Trellis graphics principles enhances automated FCM analysis.
  • flowViz contributes to the advancement of high-throughput FCM technologies.