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
Summary
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.
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.
