Flow: Statistics, visualization and informatics for flow cytometry

doi:10.1186/1751-0473-3-10

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Software review

Flow: Statistics, visualization and informatics for flow cytometry

Jacob Frelinger¹ , Thomas B Kepler²^,3 and Cliburn Chan²

¹Computational Biology and Bioinformatics Program, Duke University, Durham, NC 27705, USA

²Center for Computational Immunology, Department of Biostatistics & Bioinformatics, Duke University Medical Center, 2424 Erwin Road, Hock Plaza Suite G06, Durham, NC 27705, USA

³Department of Immunology, and Department of Statistical Science, Duke University, Durham, NC 27705, USA

author email corresponding author email

Source Code for Biology and Medicine 2008, 3:10doi:10.1186/1751-0473-3-10


Published:	17 June 2008

Abstract

Flow is an open source software application for clinical and experimental researchers to perform exploratory data analysis, clustering and annotation of flow cytometric data. Flow is an extensible system that offers the ease of use commonly found in commercial flow cytometry software packages and the statistical power of academic packages like the R BioConductor project.