Int J Bioinform Res Appl. 2006;2(1):52-62.

A rich analytical environment for flow cytometry experimental results.

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Department of Computer Science and Engineering, University of Colorado at Denver and Health Sciences Center, Campus Box 109, P.O. Box 173364, Denver, CO 80217-3364, USA. jsiebert@acm.org

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.

PMID:: 18048153; [PubMed - indexed for MEDLINE]

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