可视化
计算机科学
生物网络
软件
数据科学
生物学数据
图形绘制
视觉分析
软件可视化
集合(抽象数据类型)
数据可视化
数据挖掘
软件系统
生物信息学
软件建设
生物
程序设计语言
作者
Michael Kohl,Sebastian Wiese,Bettina Warscheid
标识
DOI:10.1007/978-1-60761-987-1_18
摘要
Substantial progress has been made in the field of "omics" research (e.g., Genomics, Transcriptomics, Proteomics, and Metabolomics), leading to a vast amount of biological data. In order to represent large biological data sets in an easily interpretable manner, this information is frequently visualized as graphs, i.e., a set of nodes and edges. Nodes are representations of biological molecules and edges connect the nodes depicting some kind of relationship. Obviously, there is a high demand for computer-based assistance for both visualization and analysis of biological data, which are often heterogeneous and retrieved from different sources. This chapter focuses on software tools that assist in visual exploration and analysis of biological networks. Global requirements for such programs are discussed. Utilization of visualization software is exemplified using the widely used Cytoscape tool. Additional information about the use of Cytoscape is provided in the Notes section. Furthermore, special features of alternative software tools are highlighted in order to assist researchers in the choice of an adequate program for their specific requirements.
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