title: Using flowViz to visualize flow cytometry data.
abstract: 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.
  
  
  BACKGROUND
  flowViz is available as an R package from the Bioconductor project: http://bioconductor.org
authors.affiliation: Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109, USA. dsarkar@fhcrc.org
authors.forename: D
authors.initials: D
authors.lastname: Sarkar
authors.forename: N
authors.initials: N
authors.lastname: Le Meur
authors.forename: R
authors.initials: R
authors.lastname: Gentleman
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D003628:Database Management Systems; D016208:Databases, Factual; D005434:Flow Cytometry / Q000379:methods*; D012984:Software; D014584:User-Computer Interface