title: flowPhyto: enabling automated analysis of microscopic algae from continuous flow cytometric data.
abstract: BACKGROUND
  Flow cytometry is a widely used technique among biologists to study the abundances of populations of microscopic algae living in aquatic environments. A new generation of high-frequency flow cytometers collects up to several hundred samples per day and can run continuously for several weeks. Automated computational methods are needed to analyze the different phytoplankton populations present in each sample. Software packages in the programming environment R provide powerful tools for conducting such analyses.
  
  
  RESULTS
  We introduce flowPhyto, an R package that performs aggregate statistics on virtually unlimited collections of raw flow cytometry files and provides a memory efficient, parallelized solution for analyzing high-throughput flow cytometric data.
  
  
  BACKGROUND
  Freely accessible at http://www.bioconductor.org.
authors.affiliation: School of Oceanography, University of Washington, Seattle, WA 98195, USA.
authors.forename: Francois
authors.initials: F
authors.lastname: Ribalet
authors.forename: David M
authors.initials: DM
authors.lastname: Schruth
authors.forename: E Virginia
authors.initials: EV
authors.lastname: Armbrust
mesh_terms: D003196:Computer Graphics; D001330:Electronic Data Processing / Q000379:methods*; D005434:Flow Cytometry / Q000379:methods*; D058086:Microalgae / Q000254:growth & development*; D012984:Software; D013223:Statistics as Topic