Literature DB >> 28361008

Chameleon: Dynamic Color Mapping for Multi-Scale Structural Biology Models.

Nicholas Waldin1, Mathieu Le Muzic1, Manuela Waldner1, Eduard Gröller2, David Goodsell3, Autin Ludovic3, Ivan Viola1.   

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.

Entities:  

Keywords:  Categories and Subject Descriptors (according to ACM CCS): Visualization [Human-centered computing]: Visualization application domains; Scientific visualization

Year:  2016        PMID: 28361008      PMCID: PMC5370176          DOI: 10.2312/vcbm.20161266

Source DB:  PubMed          Journal:  Eurographics Workshop Vis Comput Biomed        ISSN: 2070-5778


  7 in total

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Authors:  Martijn Tennekes; Edwin de Jonge
Journal:  IEEE Trans Vis Comput Graph       Date:  2014-12       Impact factor: 4.579

2.  Two-level approach to efficient visualization of protein dynamics.

Authors:  Ove Daae Lampe; Ivan Viola; Nathalie Reuter; Helwig Hauser
Journal:  IEEE Trans Vis Comput Graph       Date:  2007 Nov-Dec       Impact factor: 4.579

3.  Color design for illustrative visualization.

Authors:  Lujin Wang; Joachim Giesen; Kevin T McDonnell; Peter Zolliker; Klaus Mueller
Journal:  IEEE Trans Vis Comput Graph       Date:  2008 Nov-Dec       Impact factor: 4.579

4.  Perceptually driven visibility optimization for categorical data visualization.

Authors:  Sungkil Lee; Mike Sips; Hans-Peter Seidel
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-10       Impact factor: 4.579

5.  Hue-preserving color blending.

Authors:  Johnson Chuang; Daniel Weiskopf; Torsten Möller
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

6.  cellPACK: a virtual mesoscope to model and visualize structural systems biology.

Authors:  Graham T Johnson; Ludovic Autin; Mostafa Al-Alusi; David S Goodsell; Michel F Sanner; Arthur J Olson
Journal:  Nat Methods       Date:  2014-12-01       Impact factor: 28.547

7.  XCluSim: a visual analytics tool for interactively comparing multiple clustering results of bioinformatics data.

Authors:  Sehi L'Yi; Bongkyung Ko; DongHwa Shin; Young-Joon Cho; Jaeyong Lee; Bohyoung Kim; Jinwook Seo
Journal:  BMC Bioinformatics       Date:  2015-08-13       Impact factor: 3.169

  7 in total
  1 in total

Review 1.  Perspectives on Structural Molecular Biology Visualization: From Past to Present.

Authors:  Arthur J Olson
Journal:  J Mol Biol       Date:  2018-07-23       Impact factor: 5.469

  1 in total

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