Visant-Predictome: A System for Integration, Mining Visualization and Analysis

描述（由申请人提供）：最近和持续的技术进步正在产生大量关于细胞结构，功能和活动的不同数据。这推动了用于存储、挖掘、分析、可视化和集成数据的工具的发展。该提案描述了VisANT系统：一个可视化数据挖掘工具，它在本地数据库上运行，其中包括我们实验室的结果，以及从web可访问数据库（如MIPS和BIND）自动更新的蛋白质组学数据。除了访问自己的数据库外，还有一个名称规范化表（即标识符字典），允许系统从GenBank和OMIM等来源无缝检索序列、疾病和其他数据。可视化工具能够可逆地对相关的节点集进行分组，并显示和复制它们的内部结构，从而提供了一种分层表示和建模的方法。我们建议通过包括挖掘和表示化学反应、同源网络、组合调节转录网络、剪接变体和功能层次的能力，进一步建立这些独特的功能。软件是开源的，系统也允许用户交换和整合他们发现的网络和其他人的网络。

DESCRIPTION (provided by applicant): Recent and continuing technological advances are producing large amounts of disparate data about cell structure, function and activity. This is driving the development of tools for storing, mining, analyzing, visualizing and integrating data. This proposal describes the VisANT system: a tool for visual data mining that operates on a local database which includes results from our lab, as well as automatically updated proteomics data from web accessible databases such as MIPS and BIND. In addition to accessing its own database, a name normalization table (i.e. a dictionary of identifiers), permits the system to seamlessly retrieve sequence, disease and other data from sources such as GenBank and OMIM. The visualization tool is able to reversibly group related sets of nodes, and display and duplicate their internal structure, providing an approach to hierarchical representation and modeling. We propose to build further on these unique features by including capabilities for mining and representing chemical reactions, orthologous networks, combinatorially regulated transcriptional networks, splice variants and functional hierarchies. Software is open source, and the system also allows users to exchange and integrate the networks that they discover with those of others.