蛋白质关系网络可视化系统的研究与实现

蛋白质关系网络的研究在生物医学领域中已成为一个热点。研究者通过对蛋白质关系网络进行分析和聚类，能够发现其中的复合体，进一步理解细胞组织原理。在对关系网络进行分析的过程中，将网络拓扑显示为图形，以直观地表示出关系网络的结构，便于对比聚类方法，辅助关系网络的研究。利用网络建模与可视化工具包JUNG设计并实现了一个蛋白质关系网络可视化系统，它能够解析多种格式的蛋白质关系网络数据，集成了几种有效的图聚类算法，并实现了一种基于蛋白质功能标注的发现复合体的聚类算法。用户能够通过二维网络视图方便地观察原始网络和聚类后的结果。

Research and Implementation on Visualization System for PPI Network

Research on protein-protein interaction (PPI) network has become a hot spot in the biomedical domain. With analysis and clustering application on PPI network, researchers detect complexes for a better understanding of cellular organizations. Visualizing PPI network in analyzing process can intuitively present the organization of the network,which makes easy comparison of clustering methods and promotes researches on PPI network. We designed and implemented a PPI network visualization system with JUNG, a network modeling and visualization library. We also integrated several effective graph clustering algorithms into the system, and implemented a protein complex detection method based on protein function annotation. The original network and clusters can be navigated conveniently in two-dimensional network views.