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Semi-automatic drawing of metabolic networks

机译:代谢网络的半自动绘图

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In the Living cell, biochemical reactions catalyzed by enzymes are the drivers for metabolic processes like growth, energy production, and replication. Metabolic networks are the representation of these processes describing the complex interactions of biochemical compounds. The large amount of manifold data concerning metabolic networks continually arising from current research activities in biotechnology leads to the great challenge of information visualization. Visualizing information in networks first of all requires appropriate network diagrams. In the context of metabolic networks, historical conventions regarding the network layout have been established. These layouts are not realizable by prevailing algorithms for automatic graph drawing. Hence, manual graph drawing is the predominating way to set up metabolic network diagrams. This is very time-consuming without software support, especially considering large networks with more than 500 nodes. We present a semi-automatic approach to drawing networks which relies on manual editing supported by two concepts of the interactive and automatic arrangement of nodes and edges. The first concept, called the Layout pattern, uses an arbitrarily shaped skeleton as a backbone for the arrangement of nodes and edges. The second concept allows us to wrap a set of repeating drawing steps onto a so-called motif stamp, which can be appended to other parts of a diagram during the drawing process. Finally, a case study demonstrates that both semi-automatic drawing techniques diminish the time to be devoted for the manual network drawing process.
机译:在活细胞中,酶催化的生化反应是代谢过程(如生长,能量产生和复制)的驱动力。代谢网络是这些过程的表示,描述了生化化合物的复杂相互作用。生物技术的当前研究活动不断产生的有关代谢网络的大量流传数据,给信息可视化带来了巨大挑战。在网络中可视化信息首先需要适当的网络图。在代谢网络的背景下,建立了有关网络布局的历史惯例。通过自动图形绘制的通用算法无法实现这些布局。因此,手动绘制图是建立代谢网络图的主要方式。如果没有软件支持,这将非常耗时,尤其是考虑到具有500个以上节点的大型网络。我们提出了一种半自动绘制网络的方法,该方法依赖于手动编辑,该编辑由节点和边的交互和自动排列的两个概念支持。第一个概念称为布局模式,它使用任意形状的骨架作为节点和边缘排列的主干。第二个概念使我们可以将一组重复的绘制步骤包装到所谓的主题图章上,该图章可以在绘制过程中附加到图的其他部分。最后,案例研究表明,两种半自动绘图技术都减少了用于手动网络绘图过程的时间。

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