EMMA: a platform for consistent storage and efficient analysis of microarray data

As a high throughput technique, microarray experiments produce large data sets, consisting of measured data, laboratory protocols, and experimental settings. We have implemented the open source platform EMMA to store and analyze these data. The system provides automated pipelines for data processing...

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Veröffentlicht in:Journal of biotechnology 2003-12, Vol.106 (2), p.135-146
Hauptverfasser: Dondrup, Michael, Goesmann, Alexander, Bartels, Daniela, Kalinowski, Jörn, Krause, Lutz, Linke, Burkhard, Rupp, Oliver, Sczyrba, Alexander, Pühler, Alfred, Meyer, Folker
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Sprache:eng
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Zusammenfassung:As a high throughput technique, microarray experiments produce large data sets, consisting of measured data, laboratory protocols, and experimental settings. We have implemented the open source platform EMMA to store and analyze these data. The system provides automated pipelines for data processing and has a modular architecture that can be easily extended. EMMA features detailed reports about spots and their corresponding measurements. In addition to routine data analysis algorithms, the system can be integrated with other components that contain additional data sources (e.g. genome annotation systems).
ISSN:0168-1656
1873-4863
DOI:10.1016/j.jbiotec.2003.08.010