flowViz

flowViz generates visualizations of flow cytometry (FCM) data to facilitate analysis and interpretation in high-throughput settings.


Key Features:

  • Automated Visualization: Automates generation of visual outputs for large flow cytometry (FCM) datasets.
  • Trellis Graphics Integration: Implements Trellis graphics to produce structured, multi-panel plots for comparing FCM subsets.
  • High-Throughput Compatibility: Supports processing and visualization of large-scale flow cytometry datasets.

Scientific Applications:

  • Immunology: Aids analysis of flow cytometry datasets in immunology by revealing patterns, trends, and anomalies.
  • Cancer Biology: Supports visualization of FCM data in cancer biology to identify patterns, trends, and anomalies relevant to tumor and immune cell phenotypes.
  • Cell Biology: Facilitates interpretation of cell biology flow cytometry experiments by highlighting population structure and data anomalies.

Methodology:

Transforms raw FCM data into visually accessible formats using Trellis graphics and automated processes implemented within the R/Bioconductor framework.

Topics

Collections

Details

License:
Artistic-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Sarkar D, Le Meur N, Gentleman R. Using flowViz to visualize flow cytometry data. Bioinformatics. 2008;24(6):878-879. doi:10.1093/bioinformatics/btn021. PMID:18245128. PMCID:PMC2768483.

Documentation

Downloads