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
Visualisation
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.