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Related Experiment Videos

Flow: Statistics, visualization and informatics for flow cytometry.

Jacob Frelinger1, Thomas B Kepler, Cliburn Chan

  • 1Center for Computational Immunology, Department of Biostatistics & Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Hock Plaza Suite G06, Durham, NC 27705, USA. cliburn.chan@duke.edu.

Source Code for Biology and Medicine
|June 19, 2008
PubMed
Summary
This summary is machine-generated.

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Flow is an open-source software for analyzing flow cytometry data. It provides exploratory data analysis, clustering, and annotation, combining ease of use with statistical power for researchers.

Area of Science:

  • Biotechnology
  • Bioinformatics
  • Computational Biology

Background:

  • Flow cytometry is a crucial technique in biological research.
  • Analyzing flow cytometry data can be complex and time-consuming.
  • Existing software solutions often lack either user-friendliness or advanced analytical capabilities.

Purpose of the Study:

  • Introduce Flow, an open-source software for flow cytometry data analysis.
  • To provide researchers with a tool that integrates ease of use with robust statistical power.
  • To facilitate exploratory data analysis, clustering, and annotation of flow cytometry datasets.

Main Methods:

  • Developed Flow as an extensible, open-source software application.
  • Integrated features for exploratory data analysis, clustering, and annotation.

Related Experiment Videos

  • Designed for both clinical and experimental researchers.

    • Main Results:

    • Flow offers an intuitive user interface for data analysis.
    • The software provides the statistical power comparable to academic packages.
    • It serves as a versatile platform for various flow cytometry data analysis tasks.

    Conclusions:

    • Flow is a valuable open-source tool for flow cytometry data analysis.
    • It bridges the gap between commercial and academic software solutions.
    • The software empowers researchers to conduct advanced analyses efficiently.