A Layout algorithm for data flow diagrams
IEEE Transactions on Software Engineering
An algorithm for drawing general undirected graphs
Information Processing Letters
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Visualizing biological pathways: requirements analysis, systems evaluation and research agenda
Information Visualization - Special issue: Bioinformatics visualization
Dynamic exploration and editing of KEGG pathway diagrams
Bioinformatics
On open problems in biological network visualization
GD'09 Proceedings of the 17th international conference on Graph Drawing
Navigation and exploration of interconnected pathways
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Visual network analysis of dynamic metabolic pathways
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
JigsawMap: connecting the past to the future by mapping historical textual cadasters
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pathway preserving representation of metabolic networks
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Toward the role of interaction in visual analytics
Proceedings of the Winter Simulation Conference
Guiding the interactive exploration of metabolic pathway interconnections
Information Visualization
Semi-automatic drawing of metabolic networks
Information Visualization - Special issue on Best Papers of Visual Analytics Science and Technology (VAST) 2010
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The universe of biochemical reactions in metabolic pathways can be modeled as a complex network structure augmented with domain specific annotations. Based on the functional properties of the involved reactions, metabolic networks are often clustered into so-called pathways inferred from expert knowledge. To support the domain expert in the exploration and analysis process, we follow the well-known Table Lens metaphor with the possibility to select multiple foci. In this paper, we introduce a novel approach to generate an interactive layout of such a metabolic network taking its hierarchical structure into account and present methods for navigation and exploration that preserve the mental map. The layout places the network nodes on a fixed rectilinear grid and routes the edges orthogonally between the node positions. Our approach supports bundled edge routes heuristically minimizing a given cost function based on the number of bends, the number of edge crossings and the density of edges within a bundle.