Center for Biomedical Computing, University of Verona, Strada le Grazie, 15 -37134 Verona, Italy.
Bioinformatics. 2009 Nov 1;25(21):2857-9. doi: 10.1093/bioinformatics/btp517. Epub 2009 Sep 2.
The increasing availability of large network datasets along with the progresses in experimental high-throughput technologies have prompted the need for tools allowing easy integration of experimental data with data derived form network computational analysis. In order to enrich experimental data with network topological parameters, we have developed the Cytoscape plug-in CentiScaPe. The plug-in computes several network centrality parameters and allows the user to analyze existing relationships between experimental data provided by the users and node centrality values computed by the plug-in. CentiScaPe allows identifying network nodes that are relevant from both experimental and topological viewpoints. CentiScaPe also provides a Boolean logic-based tool that allows easy characterization of nodes whose topological relevance depends on more than one centrality. Finally, different graphic outputs and the included description of biological significance for each computed centrality facilitate the analysis by the end users not expert in graph theory, thus allowing easy node categorization and experimental prioritization.
CentiScaPe can be downloaded via the Cytoscape web site: http://chianti.ucsd.edu/cyto_web/plugins/index.php. Tutorial, centrality descriptions and example data are available at: http://profs.sci.univr.it/ approximately scardoni/centiscape/centiscapepage.php
Supplementary data are available at Bioinformatics online.
随着大型网络数据集的日益普及和实验高通量技术的进步，人们需要能够轻松将实验数据与网络计算分析得出的数据集成的工具。为了用网络拓扑参数丰富实验数据，我们开发了 Cytoscape 插件 CentiScaPe。该插件计算了几个网络中心性参数，并允许用户分析用户提供的现有实验数据与插件计算的节点中心性值之间的关系。CentiScaPe 允许从实验和拓扑两个角度识别相关的网络节点。CentiScaPe 还提供了一个基于布尔逻辑的工具，允许轻松描述拓扑相关性取决于多个中心性的节点。最后，不同的图形输出和每个计算出的中心性的包含的生物学意义描述，便于非图论专家的最终用户进行分析，从而允许轻松对节点进行分类和实验优先级排序。
CentiScaPe 可通过 Cytoscape 网站下载：http://chianti.ucsd.edu/cyto_web/plugins/index.php。教程、中心性描述和示例数据可在以下网址获得：http://profs.sci.univr.it/approximately scardoni/centiscape/centiscapepage.php
补充数据可在 Bioinformatics 在线获得。
