Graph drawing by force-directed placement
Software—Practice & Experience
Graph Drawing: Algorithms for the Visualization of Graphs
Graph Drawing: Algorithms for the Visualization of Graphs
A Generic Compound Graph Visualizer/Manipulator: D-ABDUCTOR
GD '95 Proceedings of the Symposium on Graph Drawing
Straight-Line Drawing Algorithms for Hierarchical Graphs and Clustered Graphs
GD '96 Proceedings of the Symposium on Graph Drawing
Hierarchical visualization of metabolic networks using virtual reality
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
Exploratory Analysis of Co-Change Graphs for Code Refactoring
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Drawing graphs with nonuniform nodes using potential fields
Journal of Visual Languages and Computing
Computational biology: a programming perspective
Formal modeling
On open problems in biological network visualization
GD'09 Proceedings of the 17th international conference on Graph Drawing
Domain specific vs generic network visualization: an evaluation with metabolic networks
AUIC '11 Proceedings of the Twelfth Australasian User Interface Conference - Volume 117
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We present a new compound graph layout algorithm based on traditional force-directed layout scheme with extensions for nesting and other application-specific constraints. The algorithm has been successfully implemented within Patika, a pathway analysis tool for drawing complicated biological pathways with compartmental constraints and arbitrary nesting relations to represent molecular complexes and pathway abstractions. Experimental results show that execution times and quality of the produced drawings with respect to commonly accepted layout criteria and pathway drawing conventions are quite satisfactory.