title: EMMA: a platform for consistent storage and efficient analysis of microarray data.
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).
authors.affiliation: Center for Genome Research, Bielefeld University, D-33594 Bielefeld, Germany.
authors.forename: Michael
authors.initials: M
authors.lastname: Dondrup
authors.forename: Alexander
authors.initials: A
authors.lastname: Goesmann
authors.forename: Daniela
authors.initials: D
authors.lastname: Bartels
authors.forename: Jörn
authors.initials: J
authors.lastname: Kalinowski
authors.forename: Lutz
authors.initials: L
authors.lastname: Krause
authors.forename: Burkhard
authors.initials: B
authors.lastname: Linke
authors.forename: Oliver
authors.initials: O
authors.lastname: Rupp
authors.forename: Alexander
authors.initials: A
authors.lastname: Sczyrba
authors.forename: Alfred
authors.initials: A
authors.lastname: Pühler
authors.forename: Folker
authors.initials: F
authors.lastname: Meyer
mesh_terms: 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