title: Web servlet-assisted, dial-in flow cytometry data analysis.
abstract: BACKGROUND
  The obvious benefits of centralized data storage notwithstanding, the size of modern flow cytometry data files discourages their transmission over commonly used telephone modem connections. The proposed solution is to install at the central location a web servlet that can extract compact data arrays, of a form dependent on the requested display type, from the stored files and transmit them to a remote client computer program for display.
  
  
  METHODS
  A client program and a web servlet, both written in the Java programming language, were designed to communicate over standard network connections. The client program creates familiar numerical and graphical display types and allows the creation of gates from combinations of user-defined regions. Data compression techniques further reduce transmission times for data arrays that are already much smaller than the data file itself.
  
  
  RESULTS
  For typical data files, network transmission times were reduced more than 700-fold for extraction of one-dimensional (1-D) histograms, between 18 and 120-fold for 2-D histograms, and 6-fold for color-coded dot plots. Numerous display formats are possible without further access to the data file.
  
  
  CONCLUSIONS
  This scheme enables telephone modem access to centrally stored data without restricting flexibility of display format or preventing comparisons with locally stored files.
authors.affiliation: The Walter & Eliza Hall Institute of Medical Research, Royal Melbourne Hospital, Victoria, Australia. battye@wehi.edu.au
authors.forename: F
authors.initials: F
authors.lastname: Battye
mesh_terms: D003195:Computer Communication Networks / Q000639:trends; D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D005434:Flow Cytometry / Q000379:methods / Q000639:trends*; D020407:Internet; D009862:Online Systems / Q000639:trends; D012984:Software