The Functional Genomics Experiment Model extended for Flow Cytometry
FuGEFlow represents a collaborative effort to develop of flow cytometry experimental workflow description based on the FuGE model.
The Functional Genomics Experiment data model (FuGE) describes common aspects of comprehensive, high-throughput experiments. FuGE is an extendable model that provides a basis for creation of new technology-specific data formats, such as FuGEFlow for flow cytometry.
Advantages of this approach include simplified cross-platform integration with high potential for efficient data querying, mining, analyzing, and semantic-based machine processing. Additional benefits result from the use of the Model Driven Architecture (MDA) paradigm. MDA transforms platform independent model to code-level artifacts such as Java code or SQL scripts.
More information
Subscribe to the flowcyt-fuge and see also the FICCS wiki for more details on the latest development.
| Last update: December 6th, 2007 |