Paper Info
Title
FuGEFlow: data model and markup language for flow cytometry.
Abstract
Flow cytometry technology is widely used in both health care and research. The rapid expansion of flow cytometry applications has outpaced the development of data storage and analysis tools. Collaborative efforts being taken to eliminate this gap include building common vocabularies and ontologies, designing generic data models, and defining data exchange formats. The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) standard was recently adopted by the International Society for Advancement of Cytometry. This standard guides researchers on the information that should be included in peer reviewed publications, but it is insufficient for data exchange and integration between computational systems. The Functional Genomics Experiment (FuGE) formalizes common aspects of comprehensive and high throughput experiments across different biological technologies. We have extended FuGE object model to accommodate flow cytometry data and metadata.We used the MagicDraw modelling tool to design a UML model (Flow-OM) according to the FuGE extension guidelines and the AndroMDA toolkit to transform the model to a markup language (Flow-ML). We mapped each MIFlowCyt term to either an existing FuGE class or to a new FuGEFlow class. The development environment was validated by comparing the official FuGE XSD to the schema we generated from the FuGE object model using our configuration. After the Flow-OM model was completed, the final version of the Flow-ML was generated and validated against an example MIFlowCyt compliant experiment description.The extension of FuGE for flow cytometry has resulted in a generic FuGE-compliant data model (FuGEFlow), which accommodates and links together all information required by MIFlowCyt. The FuGEFlow model can be used to build software and databases using FuGE software toolkits to facilitate automated exchange and manipulation of potentially large flow cytometry experimental data sets. Additional project documentation, including reusable design patterns and a guide for setting up a development environment, was contributed back to the FuGE project.We have shown that an extension of FuGE can be used to transform minimum information requirements in natural language to markup language in XML. Extending FuGE required significant effort, but in our experiences the benefits outweighed the costs. The FuGEFlow is expected to play a central role in describing flow cytometry experiments and ultimately facilitating data exchange including public flow cytometry repositories currently under development.
Year
DOI
Venue
2009
10.1186/1471-2105-10-184
BMC Bioinformatics
Keywords
Field
DocType
markup language,bioinformatics,algorithms,health care,data exchange,high throughput,computational biology,development environment,design pattern,data model,functional genomics,programming languages,flow cytometry,object model,microarrays,data storage
Ontology (information science),Metadata,Data modeling,Data exchange,Computer science,Object model,Throughput,Bioinformatics,Data model,Markup language
Journal
Volume
Issue
ISSN
10
1
1471-2105
Citations 
PageRank 
References 
16
0.38
2
Authors
10
Name
Order
Citations
PageRank
Yu Qian1282.98
Olga Tchuvatkina2160.71
Josef Spidlen3675.25
Peter Wilkinson4170.77
Maura Gasparetto5160.38
Andrew R. Jones6757.65
Frank J. Manion710114.35
Richard H. Scheuermann825823.91
Rafick-Pierre Sekaly9170.77
Ryan R Brinkman1030225.48