Visualization of Zoomable Network for Multi-Compounds and Multi-Targets Analysis

Jaesub Park, Jaeho Kim, Junseok Park, Sunghwa Bae, Hyungseok Kim, Doheon Lee
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Abstract

Recent explosively increased bio-data enable to simulate the metabolism on whole body scale and it bring about needs of bioinformatics tools for visualizing and analyzing it. For such tools zooming is a key method for visualizing large and complex network in a single view[1]. But unfortunately most of developed tools are too dependent on the elaborately constructed hierarchy to get zoom function. So we developed the zoomable visualization system for the large bio-molecule network without preformed hierarchy data.
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多化合物和多目标分析可缩放网络的可视化
近年来,生物数据的爆炸式增长使我们能够在整个身体范围内模拟新陈代谢,这就需要生物信息学工具来对新陈代谢进行可视化和分析。对于这些工具来说,缩放是在单一视图中可视化大型复杂网络的关键方法[1]。但不幸的是,大多数已开发的工具过于依赖于精心构建的层次结构,无法获得缩放功能。为此,我们开发了可缩放的大型生物分子网络可视化系统。
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