Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Graph Folding: Extending Detail and Context Viewing into a Tool for Subgraph Comparisons
GD '95 Proceedings of the Symposium on Graph Drawing
A Fast Adaptive Layout Algorithm for Undirected Graphs
GD '94 Proceedings of the DIMACS International Workshop on Graph Drawing
Multilevel Visualization of Clustered Graphs
GD '96 Proceedings of the Symposium on Graph Drawing
Comparison of metabolic pathways using constraint graph drawing
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Achieving higher magnification in context
Proceedings of the 17th annual ACM symposium on User interface software and technology
Visualizing biological pathways: requirements analysis, systems evaluation and research agenda
Information Visualization - Special issue: Bioinformatics visualization
An Introduction to Metabolic Networks and Their Structural Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations
IEEE Transactions on Visualization and Computer Graphics
A novel grid-based visualization approach for metabolic networks with advanced focus&context view
GD'09 Proceedings of the 17th international conference on Graph Drawing
Winding roads: routing edges into bundles
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Pathline: a tool for comparative functional genomics
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Fully automatic visualisation of overlapping sets
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
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Improvements in biological data acquisition and genomes sequencing now allow to reconstruct entire metabolic networks of many living organisms. The size and complexity of these networks prohibit manual drawing and thereby urge the need of dedicated visualization techniques. An efficient representation of such a network should preserve the topological information of metabolic pathways while respecting biological drawing conventions. These constraints complicate the automatic generation of such visualization as it raises graph drawing issues. In this paper we propose a method to lay out the entire metabolic network while preserving the pathway information as much as possible. That method is flexible as it enables the user to define whether or not node duplication should be performed, to preserve or not the network topology. Our technique combines partitioning, node placement and edge bundling to provide a pseudo-orthogonal visualization of the metabolic network. To ease pathway information retrieval, we also provide complementary interaction tools that emphasize relevant pathways in the entire metabolic context.