Data characterization for intelligent graphics presentation
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Simple constrained deformations for geometric modeling and interactive design
ACM Transactions on Graphics (TOG) - Special issue on interactive sculpting
Multivariate visualization using metric scaling
VIS '97 Proceedings of the 8th conference on Visualization '97
Displaying data in multidimensional relevance space with 2D visualization maps
VIS '97 Proceedings of the 8th conference on Visualization '97
Kernel principal component analysis
Advances in kernel methods
Worlds within worlds: metaphors for exploring n-dimensional virtual worlds
Readings in information visualization
Readings in information visualization
Using shape to visualize multivariate data
Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management
Visualizing and investigating multidimensional functions
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Tensor field visualisation using adaptive filtering of noise fields combined with glyph rendering
Proceedings of the conference on Visualization '02
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Iconic Techniques for Feature Visualization
VIS '95 Proceedings of the 6th conference on Visualization '95
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
A taxonomy of glyph placement strategies for multidimensional data visualization
Information Visualization
Cluster analysis of gene expression data
Cluster analysis of gene expression data
VisBio: a biological tool for visualization and analysis
ACM SIGGRAPH Computer Graphics
A problem-oriented classification of visualization techniques
VIS '90 Proceedings of the 1st conference on Visualization '90
Revisiting 2D vs 3D implications on spatial memory
AUIC '04 Proceedings of the fifth conference on Australasian user interface - Volume 28
BEST PAPER: A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Experimental study on evaluation of multidimensional information visualization techniques
CLIHC '05 Proceedings of the 2005 Latin American conference on Human-computer interaction
IEEE Transactions on Visualization and Computer Graphics
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A Taxonomy of Clutter Reduction for Information Visualisation
IEEE Transactions on Visualization and Computer Graphics
Seeing is believing: designing visualizations for managing risk and compliance
IBM Systems Journal
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Aligning structures, often referred to as docking or registration, is frequently required in fields such as computer science, robotics and structural biology. The task of aligning the structures is usually automated, but due to noise and imprecision, the user often needs to evaluate the results before a final decision can be made. The solutions involved are of a multidimensional nature and normally densely populated. Therefore, some form of visualization is necessary, especially if users want to achieve higher level understanding, such as solution symmetry or clustering, from the data. We have developed a system that provides two views of the data. One view places focus on the orientation of the solutions and the other focuses on translations. Solutions within the views are crosslinked using various visual cues. Users are also able to apply various filters, intelligently reducing the solution set. We applied the visualization to data generated by the automated cryo-EM process of docking molecular structures into electron density maps. Current systems in this field only allow for visual representation of a single solution or a numerical list of the data. We evaluated the system through a multi-phase user study and found that the users were able to gain a better high-level understanding of the data, even in cases of relatively small solution sets.