A rich analytical environment for flow cytometry experimental results.
Int J Bioinform Res Appl
; 2(1): 52-62, 2006.
Article
in En
| MEDLINE
| ID: mdl-18048153
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.
Search on Google
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Computational Biology
/
Flow Cytometry
Limits:
Humans
Language:
En
Journal:
Int J Bioinform Res Appl
Journal subject:
INFORMATICA MEDICA
Year:
2006
Document type:
Article
Affiliation country:
United States
Country of publication:
Switzerland