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首页> 外文期刊>BMC Bioinformatics >LucidDraw: Efficiently visualizing complex biochemical networks within MATLAB
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LucidDraw: Efficiently visualizing complex biochemical networks within MATLAB

机译:LucidDraw:在MATLAB中高效可视化复杂的生化网络

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Background Biochemical networks play an essential role in systems biology. Rapidly growing network data and versatile research activities call for convenient visualization tools to aid intuitively perceiving structures of networks and gaining insights into the functional implications of networks. There are various kinds of network visualization software, but they are usually not adequate for visual analysis of complex biological networks mainly because of the two reasons: 1) most existing drawing methods suitable for biochemical networks have high computation loads and can hardly achieve near real-time visualization; 2) available network visualization tools are designed for working in certain network modeling platforms, so they are not convenient for general analyses due to lack of broader range of readily accessible numerical utilities. Results We present LucidDraw as a visual analysis tool, which features (a) speed: typical biological networks with several hundreds of nodes can be drawn in a few seconds through a new layout algorithm; (b) ease of use: working within MATLAB makes it convenient to manipulate and analyze the network data using a broad spectrum of sophisticated numerical functions; (c) flexibility: layout styles and incorporation of other available information about functional modules can be controlled by users with little effort, and the output drawings are interactively modifiable. Conclusions Equipped with a new grid layout algorithm proposed here, LucidDraw serves as an auxiliary network analysis tool capable of visualizing complex biological networks in near real-time with controllable layout styles and drawing details. The framework of the algorithm enables easy incorporation of extra biological information, if available, to influence the output layouts with predefined node grouping features.
机译:背景技术生化网络在系统生物学中起着至关重要的作用。快速增长的网络数据和广泛的研究活动需要便捷的可视化工具,以帮助直观地感知网络结构并深入了解网络的功能含义。网络上有各种各样的可视化软件,但是它们通常不足以对复杂的生物网络进行可视化分析,主要是由于以下两个原因:1)现有的适用于生化网络的大多数绘制方法都具有较高的计算量,并且几乎无法实现近乎真实的绘制。时间可视化; 2)可用的网络可视化工具是为在某些网络建模平台上工作而设计的,由于缺少更广泛的易于使用的数值工具,因此它们不便于进行常规分析。结果我们将LucidDraw作为一种可视化分析工具呈现,它具有以下特点:(a)速度:可以通过新的布局算法在几秒钟内绘制出具有数百个节点的典型生物网络; (b)易用性:在MATLAB中工作使使用各种复杂的数字函数可以方便地操作和分析网络数据; (c)灵活性:用户可以轻而易举地控制布局样式以及有关功能模块的其他可用信息的合并,并且输出图形可以交互地进行修改。结论LucidDraw配备了这里提出的新的网格布局算法,可作为辅助网络分析工具,能够以可控制的布局样式和图形细节近乎实时地可视化复杂的生物网络。该算法的框架可以轻松整合额外的生物学信息(如果可用),从而通过预定义的节点分组功能来影响输出布局。

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