Laboratory for Statistical Genomics and Systems Biology, Department of Environmental Health, University of Cincinnati College of Medicine, Cincinnati OH 45267-0056, USA.
BMC Genomics. 2010 Jan 13;11:27. doi: 10.1186/1471-2164-11-27.
A large amount of experimental data generated by modern high-throughput technologies is available through various public repositories. Our knowledge about molecular interaction networks, functional biological pathways and transcriptional regulatory modules is rapidly expanding, and is being organized in lists of functionally related genes. Jointly, these two sources of information hold a tremendous potential for gaining new insights into functioning of living systems.
Genomics Portals platform integrates access to an extensive knowledge base and a large database of human, mouse, and rat genomics data with basic analytical visualization tools. It provides the context for analyzing and interpreting new experimental data and the tool for effective mining of a large number of publicly available genomics datasets stored in the back-end databases. The uniqueness of this platform lies in the volume and the diversity of genomics data that can be accessed and analyzed (gene expression, ChIP-chip, ChIP-seq, epigenomics, computationally predicted binding sites, etc), and the integration with an extensive knowledge base that can be used in such analysis.
The integrated access to primary genomics data, functional knowledge and analytical tools makes Genomics Portals platform a unique tool for interpreting results of new genomics experiments and for mining the vast amount of data stored in the Genomics Portals backend databases. Genomics Portals can be accessed and used freely at http://GenomicsPortals.org.
现代高通量技术产生了大量的实验数据,这些数据可通过各种公共存储库获取。我们对分子相互作用网络、功能生物途径和转录调控模块的了解正在迅速扩展,并以功能相关基因列表的形式进行组织。这两种信息来源共同为深入了解生命系统的功能提供了巨大的潜力。
Genomics Portals 平台集成了对广泛知识库和大量人类、小鼠和大鼠基因组学数据的访问,以及基本的分析可视化工具。它为分析和解释新的实验数据提供了背景,并为有效挖掘存储在后端数据库中的大量公开可用的基因组学数据集提供了工具。该平台的独特之处在于可访问和分析的基因组学数据的数量和多样性(基因表达、ChIP-chip、ChIP-seq、表观基因组学、计算预测的结合位点等),以及与可用于此类分析的广泛知识库的集成。
对原始基因组学数据、功能知识和分析工具的集成访问使 Genomics Portals 平台成为解释新基因组学实验结果和挖掘存储在 Genomics Portals 后端数据库中的大量数据的独特工具。Genomics Portals 可在 http://GenomicsPortals.org 上免费访问和使用。