ArticleEurographics Workshop on Visual Computing for Biomedicine2016
Chameleon: Dynamic Color Mapping for Multi-Scale Structural Biology Models.
Article in Eurographics Workshop on Visual Computing for Biomedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Understanding chemical reactions through multimedia resolution data artistic educational tool (MRDAET).Protein science : a publication of the Protein Society · 2026Article
- A Concise Review of Biomolecule Visualization.Current issues in molecular biology · 2024Review
- From complex data to clear insights: visualizing molecular dynamics trajectories.Frontiers in bioinformatics · 2024Review
- Cuttlefish: Color Mapping for Dynamic Multi-Scale Visualizations.Computer graphics forum : journal of the European Association for Computer Graphics · 2019Article
- Labels on Levels: Labeling of Multi-Scale Multi-Instance and Crowded 3D Biological Environments.IEEE transactions on visualization and computer graphics · 2019Article
- Perspectives on Structural Molecular Biology Visualization: From Past to Present.Journal of molecular biology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units. In multiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures, macromolecules, up to the compartment level and, in all these levels, elements can be visually distinguished by color. However, currently only single scale coloring schemes are utilized that show information for one particular scale only. We present a novel technology which adaptively, based on the current scale level, adjusts the color scheme to depict or distinguish the currently best visible structural information. We treat the color as a visual resource that is distributed given a particular demand. The changes of the color scheme are seamlessly interpolated between the color scheme from the previous views into a given new one. With such dynamic multi-scale color mapping we ensure that the viewer is able to distinguish structural detail that is shown on any given scale. This technique has been tested by users with an expertise in structural biology and has been overall well received.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.