Interactive, Multi-Scale Navigation of Large and Complicated Biological Networks
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概要
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Networks are widely used to represent many biological data. However, their visualization often becomes too complicated to be interpreted, particularly if they contain hundreds or thousands of entities. Here, we present an interactive multi-scale navigation method for large and complicated biological networks, powered by an ultrafast graph clustering technique and a biological-property-based clustering. Similar to Google Maps, this method provides appropriately abstracted views at any magnification ratio and enables researchers to effectively discover knowledge from network data.
- 2010-07-21
著者
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Thanet Praneenararat
Department of Computational Biology, the University of Tokyo, Kashiwa, Chiba, Japan
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Toshihisa Takagi
Department of Computational Biology, the University of Tokyo, Kashiwa, Chiba, Japan|Database Center
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Wataru Iwasaki
Department of Computational Biology, the University of Tokyo, Kashiwa, Chiba, Japan
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Wataru Iwasaki
Department Of Computational Biology The University Of Tokyo Kashiwa Chiba Japan
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Toshihisa Takagi
Department Of Computational Biology The University Of Tokyo Kashiwa Chiba Japan|database Center For
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Thanet Praneenararat
Department Of Computational Biology The University Of Tokyo Kashiwa Chiba Japan