Using flowViz to visualize flow cytometry data | Zendy

Deepayan Sarkar | Zendy; Nolwenn Le Meur | Zendy; Robert Gentleman | Zendy

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Using flowViz to visualize flow cytometry data

Author(s) -

Deepayan Sarkar,

Nolwenn Le Meur,

Robert Gentleman

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn021

Subject(s) - bioconductor , computer science , automation , graphics , data flow diagram , throughput , r package , flow (mathematics) , visualization , data mining , programming language , computer graphics (images) , database , operating system , mathematics , biology , mechanical engineering , biochemistry , geometry , gene , engineering , wireless

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 article, we describe the R/Bioconductor package flowViz that implements such visualizations.

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