Goesmann Alexander, Linke Burkhard, Rupp Oliver, Krause Lutz, Bartels Daniela, Dondrup Michael, McHardy Alice C, Wilke Andreas, Pühler Alfred, Meyer Folker
Center for Genome Research, Bielefeld University, D-33594 Bielefeld, Germany.
J Biotechnol. 2003 Dec 19;106(2-3):157-67. doi: 10.1016/j.jbiotec.2003.08.007.
The flood of data acquired from the increasing number of publicly available genomes has led to new demands for bioinformatics software. With the growing amount of information resulting from high throughput experiments new questions arise that often focus on the comparison of genes, genomes, and their expression profiles. Inferring new knowledge by combining different kinds of "post-genomics" data obviously necessitates the development of new approaches that allow the integration of variable data sources into a flexible framework. In this paper, we describe our concept for the integration of heterogeneous data into a platform for systems biology. We have implemented a Bioinformatics Resource for the Integration of heterogeneous Data from Genomic Explorations (BRIDGE) and illustrate the usability of our approach as a platform for systems biology for two sample applications.
从越来越多公开可用的基因组中获取的数据洪流对生物信息学软件提出了新的要求。随着高通量实验产生的信息量不断增加,出现了新的问题,这些问题通常集中在基因、基因组及其表达谱的比较上。通过组合不同类型的“后基因组学”数据来推断新知识显然需要开发新的方法,以便将可变数据源集成到一个灵活的框架中。在本文中,我们描述了将异构数据集成到系统生物学平台的概念。我们已经实现了一个用于整合来自基因组探索的异构数据的生物信息学资源(BRIDGE),并通过两个示例应用展示了我们的方法作为系统生物学平台的可用性。