Illustrative Visualization of Molecular Reactions using Omniscient Intelligence and Passive Agents
Date
2014Author
Muzic, Mathieu Le
Parulek, Julius
Stavrum, Anne Kristin
Viola, Ivan
Metadata
Show full item recordAbstract
In this paper we propose a new type of a particle systems, tailored for illustrative visualization purposes, in particular for visualizing molecular reactions in biological networks. Previous visualizations of biochemical processes were exploiting the results of agent-based modeling. Such modeling aims at reproducing accurately the stochastic nature of molecular interactions. However, it is impossible to expect events of interest happening at a certain time and location, which is impractical for storytelling. To obtain the means of controlling molecular interactions, we propose to govern passive agents with an omniscient intelligence, instead of giving to the agents the freedom of initiating reaction autonomously. This makes it possible to generate illustrative animated stories that communicate the functioning of the molecular machinery. The rendering performance delivers for interactive framerates of massive amounts of data, based on the dynamic tessellation capabilities of modern graphics cards. Finally, we report an informal expert feedback we obtained from the potential users.
BibTeX
@article {10.1111:cgf.12370,
journal = {Computer Graphics Forum},
title = {{Illustrative Visualization of Molecular Reactions using Omniscient Intelligence and Passive Agents}},
author = {Muzic, Mathieu Le and Parulek, Julius and Stavrum, Anne Kristin and Viola, Ivan},
year = {2014},
publisher = {The Eurographics Association and John Wiley and Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12370}
}
journal = {Computer Graphics Forum},
title = {{Illustrative Visualization of Molecular Reactions using Omniscient Intelligence and Passive Agents}},
author = {Muzic, Mathieu Le and Parulek, Julius and Stavrum, Anne Kristin and Viola, Ivan},
year = {2014},
publisher = {The Eurographics Association and John Wiley and Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12370}
}