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Bioinformatics Advance Access published online on February 1, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn021
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© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Using flowViz to Visualize Flow Cytometry Data

D. Sarkar *, N. Le Meur and R. Gentleman

Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA

*To whom correspondence should be addressed. Dr. Deepayan Sarkar, E-mail: dsarkar{at}fhcrc.org


  Abstract

Summary: Automated analysis of flow cytometry (FCM) data is essential for it to become successful as a high throughput technology. We believe that the principles of Trellis graphics can be adapted to provide useful visualizations that can aid such automation. In this paper, we describe the R/Bioconductor package flowViz that implements such visualizations

Availability: flowViz is available as an R package from the Bioconductor project: http://bioconductor.org.

Contact: dsarkar{at}fhcrc.org

Associate Editor: Dr. Olga Troyanskaya

Received on September 18, 2007; revised on December 18, 2007; accepted on January 11, 2008

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