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 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).
Dondrup
Michael
M
Center for Genome Research, Bielefeld University, D-33594 Bielefeld, Germany.
Goesmann
Alexander
A
Bartels
Daniela
D
Kalinowski
Jörn
J
Krause
Lutz
L
Linke
Burkhard
B
Rupp
Oliver
O
Sczyrba
Alexander
A
Pühler
Alfred
A
Meyer
Folker
F
D000465:Algorithms; D003628:Database Management Systems; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012371:Robotics / Q000379:methods; D017422:Sequence Analysis, DNA / Q000379:methods; D012984:Software; D014584:User-Computer Interface