Abstract
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