Suderman Matthew, Hallett Michael
McGill Centre for Bioinformatics, 3775 University Street, Montreal, QCH3A 2B4, Canada.
Bioinformatics. 2007 Oct 15;23(20):2651-9. doi: 10.1093/bioinformatics/btm401. Epub 2007 Aug 25.
Many tools exist for visually exploring biological networks including well-known examples such as Cytoscape, VisANT, Pathway Studio and Patika. These systems play a key role in the development of integrative biology, systems biology and integrative bioinformatics. The trend in the development of these tools is to go beyond 'static' representations of cellular state, towards a more dynamic model of cellular processes through the incorporation of gene expression data, subcellular localization information and time-dependent behavior. We provide a comprehensive review of the relative advantages and disadvantages of existing systems with two goals in mind: to aid researchers in efficiently identifying the appropriate existing tools for data visualization; to describe the necessary and realistic goals for the next generation of visualization tools. In view of the first goal, we provide in the Supplementary Material a systematic comparison of more than 35 existing tools in terms of over 25 different features.
Supplementary data are available at Bioinformatics online.
有许多工具可用于可视化探索生物网络,包括一些知名的例子,如Cytoscape、VisANT、Pathway Studio和Patika。这些系统在整合生物学、系统生物学和整合生物信息学的发展中发挥着关键作用。这些工具的发展趋势是超越细胞状态的“静态”表示,通过纳入基因表达数据、亚细胞定位信息和时间依赖性行为,朝着更动态的细胞过程模型发展。我们对现有系统的相对优缺点进行了全面综述,旨在实现两个目标:帮助研究人员有效地识别适合数据可视化的现有工具;描述下一代可视化工具的必要且现实的目标。鉴于第一个目标,我们在补充材料中对35多种现有工具在25多种不同特征方面进行了系统比较。
补充数据可在《生物信息学》在线获取。