EMMA:: a platform for consistent storage and efficient analysis of microarray data
EMMA:: a platform for consistent storage and efficient analysis of microarray data
复制标题
DOI：
10.1016/j.jbiotec.2003.08.010
复制
发表时间：
2003-12-19
影响因子：
4.1
通讯作者：
Meyer, F
中科院分区：
文献类型：
--
作者：
Dondrup, M;Goesmann, A;Meyer, F
作为一种高通量技术，微阵列实验产生大量数据集，包括测量数据、实验室方案和实验设置。我们已经实现了开源平台EMMA来存储和分析这些数据。该系统为数据处理提供了自动化管道，并具有易于扩展的模块化架构。EMMA提供有关斑点及其相应测量的详细报告。除了常规数据分析算法之外，该系统还可以与包含额外数据源的其他组件（例如基因组注释系统）集成。(C)2003 Elsevier B.V.保留所有权利。
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.