EMMA 2: A System for Analyzing Microarray Data
Author Information
Author(s): Dondrup Michael, Albaum Stefan P, Griebel Thasso, Henckel Kolja, Jünemann Sebastian, Kahlke Tim, Kleindt Christiane K, Küster Helge, Linke Burkhard, Mertens Dominik, Mittard-Runte Virginie, Neuweger Heiko, Runte Kai J, Tauch Andreas, Tille Felix, Pühler Alfred, Goesmann Alexander
Primary Institution: Center for Biotechnology, Bielefeld University
Hypothesis
Can a new software system improve the analysis and integration of microarray data?
Conclusion
EMMA 2 provides a flexible and scalable solution for collaborative analysis of microarray data, supporting modern data integration techniques.
Supporting Evidence
- EMMA 2 supports MAGE-ML and ontology integration for comprehensive data analysis.
- The software has been applied in various national and international functional genomics projects.
- EMMA 2 allows for collaborative analysis of microarray data among research consortia.
Takeaway
EMMA 2 is a tool that helps scientists analyze lots of gene data from experiments easily and share their findings with others.
Methodology
The software was developed using a model-driven approach and supports MAGE-ML and ontology integration for microarray data analysis.
Limitations
The system's performance can depend on the hardware and software infrastructure used.
Digital Object Identifier (DOI)
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