Flow: Statistics, visualization and informatics for flow cytometry
2008
Flow: Software for Analyzing Flow Cytometry Data
publication
Evidence: moderate
Author Information
Author(s): Jacob Frelinger, Thomas B. Kepler, Cliburn Chan
Primary Institution: Duke University
Conclusion
Flow is an open-source software that enhances the analysis of flow cytometric data by integrating statistical modeling and visualization tools.
Supporting Evidence
- Flow integrates tools for exploratory data analysis, clustering, and annotation of flow cytometric data.
- The software is designed to be user-friendly for non-statisticians while providing advanced statistical capabilities.
- Flow supports batch operations to apply the same analysis to multiple datasets.
Takeaway
Flow is a computer program that helps scientists look at and understand data from experiments that study cells. It makes it easier to see patterns and group similar cells together.
Methodology
Flow uses a Model-View-Controller design pattern and is developed in Python, integrating various plugins for data analysis and visualization.
Limitations
Flow's analysis is stored in HDF5 format, which is not compatible with traditional flow cytometry software.
Digital Object Identifier (DOI)
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