Maurer Michael, Molidor Robert, Sturn Alexander, Hartler Juergen, Hackl Hubert, Stocker Gernot, Prokesch Andreas, Scheideler Marcel, Trajanoski Zlatko
Institute for Genomics and Bioinformatics, Christian Doppler Laboratory for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria.
BMC Bioinformatics. 2005 Apr 18;6:101. doi: 10.1186/1471-2105-6-101.
Microarray analysis has become a widely used technique for the study of gene-expression patterns on a genomic scale. As more and more laboratories are adopting microarray technology, there is a need for powerful and easy to use microarray databases facilitating array fabrication, labeling, hybridization, and data analysis. The wealth of data generated by this high throughput approach renders adequate database and analysis tools crucial for the pursuit of insights into the transcriptomic behavior of cells.
MARS (Microarray Analysis and Retrieval System) provides a comprehensive MIAME supportive suite for storing, retrieving, and analyzing multi color microarray data. The system comprises a laboratory information management system (LIMS), a quality control management, as well as a sophisticated user management system. MARS is fully integrated into an analytical pipeline of microarray image analysis, normalization, gene expression clustering, and mapping of gene expression data onto biological pathways. The incorporation of ontologies and the use of MAGE-ML enables an export of studies stored in MARS to public repositories and other databases accepting these documents.
We have developed an integrated system tailored to serve the specific needs of microarray based research projects using a unique fusion of Web based and standalone applications connected to the latest J2EE application server technology. The presented system is freely available for academic and non-profit institutions. More information can be found at http://genome.tugraz.at.
微阵列分析已成为一种广泛应用于基因组规模基因表达模式研究的技术。随着越来越多的实验室采用微阵列技术,需要功能强大且易于使用的微阵列数据库来促进阵列制备、标记、杂交及数据分析。这种高通量方法产生的大量数据使得充足的数据库和分析工具对于深入了解细胞转录组行为至关重要。
MARS(微阵列分析与检索系统)提供了一个全面的支持MIAME的套件,用于存储、检索和分析多色微阵列数据。该系统包括一个实验室信息管理系统(LIMS)、一个质量控制管理系统以及一个完善的用户管理系统。MARS完全集成到微阵列图像分析、标准化、基因表达聚类以及将基因表达数据映射到生物途径的分析流程中。本体的纳入以及MAGE-ML的使用使得存储在MARS中的研究能够导出到公共知识库以及其他接受这些文档的数据库中。
我们利用基于Web的应用程序与独立应用程序的独特融合,并连接到最新的J2EE应用服务器技术,开发了一个量身定制的集成系统,以满足基于微阵列的研究项目的特定需求。该系统可供学术机构和非营利性机构免费使用。更多信息可在http://genome.tugraz.at查询。