A rich analytical environment for flow cytometry experimental results

Int J Bioinform Res Appl. 2006;2(1):52-62. doi: 10.1504/IJBRA.2006.009193.


Existing analysis tools for flow cytometry data offer specialised but limited functionality. This work presents advantages of combining the cytometer's data with sample-specific information. Data is loaded into a relational database, where the analyst can query based on sample characteristics such as species, gender, diet type or sample stain type.

MeSH terms

  • Anemia, Sickle Cell / metabolism
  • Computational Biology / methods*
  • Equipment Design
  • Flow Cytometry / methods*
  • HIV / metabolism
  • Humans
  • Immunologic Techniques
  • Information Storage and Retrieval
  • Lipids / chemistry
  • Membrane Microdomains
  • Neoplasms / metabolism
  • Programming Languages
  • Spectrometry, Fluorescence / methods
  • User-Computer Interface


  • Lipids