Journal article

Authors list: Dondrup, M; Goesmann, A; Bartels, D; Kalinowski, J; Krause, L; Linke, B; Rupp, O; Sczyrba, A; Pühler, A; Meyer, F

Publication year: 2003

Pages: 135-146

Journal: Journal of Biotechnology

Volume number: 106

Issue number: 2-3

ISSN: 0168-1656

eISSN: 1873-4863

DOI Link: https://doi.org/10.1016/j.jbiotec.2003.08.010

Publisher: Elsevier

Abstract: 
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).

Harvard Citation style: Dondrup, M., Goesmann, A., Bartels, D., Kalinowski, J., Krause, L., Linke, B., et al. (2003) EMMA: a platform for consistent storage and efficient analysis of microarray data, Journal of Biotechnology, 106(2-3), pp. 135-146. https://doi.org/10.1016/j.jbiotec.2003.08.010

APA Citation style: Dondrup, M., Goesmann, A., Bartels, D., Kalinowski, J., Krause, L., Linke, B., Rupp, O., Sczyrba, A., Pühler, A., & Meyer, F. (2003). EMMA: a platform for consistent storage and efficient analysis of microarray data. Journal of Biotechnology. 106(2-3), 135-146. https://doi.org/10.1016/j.jbiotec.2003.08.010