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

被引：89

作者：

Dondrup, M

Goesmann, A

Bartels, D

Kalinowski, J

Krause, L

Linke, B

Rupp, O

Sczyrba, A

Pühler, A

Meyer, F ^{[1
]}

机构：

[1] Univ Bielefeld, Ctr Genome Res, D-33594 Bielefeld, Germany

[2] Univ Bielefeld, Lehrstuhl Genet, D-33594 Bielefeld, Germany

来源：

JOURNAL OF BIOTECHNOLOGY | 2003年 / 106卷 / 2-3期

关键词：

microarrays; transcriptomics; data integration; gene expression analysis;

D O I：

10.1016/j.jbiotec.2003.08.010

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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). (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：135 / 146

页数：12

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