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、功能和活动的完全不同的数据。这推动了用于存储、挖掘、分析、可视化和集成数据的工具的开发。这份提案描述了Visant系统：一种可视化数据挖掘工具，在本地数据库上运行，该数据库包括我们实验室的结果，以及来自网络可访问数据库(如MIPS和BIND)的自动更新的蛋白质组学数据。除了访问自己的数据库外，名称规格化表(即识别符词典)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节点集进行分组，并显示和复制其内部结构，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、组合调控的转录网络、剪接变体和功能层次结构的能力，进一步建立这些独特的功能。软件是开源的，该系统还允许用户将他们发现的网络与其他人的网络进行交换和集成。

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.