A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks

摘要: Interactions between two different guilds of entities are pervasive in biology. They may happen at molecular level, like a diseasome, or amongst individuals linked by biotic relationships, such as mutualism parasitism. These sets interactions complex bipartite networks. Visualization is powerful tool to explore and analyze them, but the most common plots, graph interaction matrix, become rather confusing when working with real biological We have developed new types visualization which exploit structural properties these networks improve readability. A technique called k-core decomposition identifies groups nodes that share connectivity properties. With results this analysis it possible build plot based on information reduction (polar plot) another takes elementary blocks for spatial distribution (ziggurat plot). describe applications both plots software create them.