Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Methods Mol Biol. 2023;2690:419-427. doi: 10.1007/978-1-0716-3327-4_32.
As the protein-protein interaction (PPI) data increase exponentially, the development and usage of computational methods to analyze these datasets have become a new research horizon in systems biology. The PPI network analysis and visualization can help identify functional modules of the network, pathway genes involved in common cellular functions, and functional annotations of novel genes. Currently, a variety of tools are available for network graph visualization and analysis. Cytoscape, an open-source software tool, is one of them. It provides an interactive visualization interface along with other core features to import, navigate, filter, cluster, search, and export networks. It comes with hundreds of in-built Apps in App Manager to resolve research questions related to network visualization and integration. This chapter aims to illustrate the Cytoscape application to visualize and analyze the PPI network using Arabidopsis interactome-1 main (AI-1) PPI network dataset from Plant Interactome Database.
随着蛋白质-蛋白质相互作用 (PPI) 数据呈指数级增长,开发和使用计算方法来分析这些数据集已成为系统生物学的一个新研究领域。PPI 网络分析和可视化可以帮助识别网络的功能模块、参与常见细胞功能的途径基因以及新基因的功能注释。目前,有多种工具可用于网络图形可视化和分析。Cytoscape 是一个开源软件工具,它提供了一个交互式可视化界面以及其他核心功能,可用于导入、导航、过滤、聚类、搜索和导出网络。它在 App Manager 中有数百个内置的 App,可用于解决与网络可视化和集成相关的研究问题。本章旨在说明使用 Cytoscape 应用程序来可视化和分析 PPI 网络的方法,使用的是来自植物相互作用数据库的拟南芥相互作用组-1 主要 (AI-1) PPI 网络数据集。