Abstract
Evolutionary simulations can produce datasets consisting of thousands or millions of separate entities, complete with their genealogical relationships. Biologists must examine this data to determine when and where these entities have changed, both on an individual basis and on a population-wide basis. Therefore, desirable features of a visualization system for evolutionary data are the capability of showing the status of the population at any given moment in time, good scalability, and smooth transition between high-level and low-level views. We propose a multi-scale visualization method, including a novel tree layout that both shows population status over time and can easily scale to very large populations. From this layout, the user can navigate to visualizations for moments in time or for individual entities. We demonstrate the effectiveness of the visualization on an existing evolutionary simulation called EVE: Evolution in Variable Environments.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings |
| Pages | 143-150 |
| Number of pages | 8 |
| DOIs | |
| State | Published - Dec 28 2011 |
| Event | 1st IEEE Symposium on Biological Data Visualization, BioVis 2011 - Providence, RI, United States Duration: Oct 23 2011 → Oct 24 2011 |
Other
| Other | 1st IEEE Symposium on Biological Data Visualization, BioVis 2011 |
|---|---|
| Country | United States |
| City | Providence, RI |
| Period | 10/23/11 → 10/24/11 |
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Keywords
- H.5.m [Information Interfaces and Presentation]: Miscellaneous Multi-scale visualization
- J.3 [Computer Applications]: Life and Medical Sciences Biology and Genetics
ASJC Scopus subject areas
- Biotechnology
- Computer Vision and Pattern Recognition
- Information Systems
Cite this
EVEVis : A multi-scale visualization system for dense evolutionary data. / Miller, Robert; Mozhayskiy, Vadim; Tagkopoulos, Llias; Ma, Kwan-Liu.
IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings. 2011. p. 143-150 6094059.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - EVEVis
T2 - A multi-scale visualization system for dense evolutionary data
AU - Miller, Robert
AU - Mozhayskiy, Vadim
AU - Tagkopoulos, Llias
AU - Ma, Kwan-Liu
PY - 2011/12/28
Y1 - 2011/12/28
N2 - Evolutionary simulations can produce datasets consisting of thousands or millions of separate entities, complete with their genealogical relationships. Biologists must examine this data to determine when and where these entities have changed, both on an individual basis and on a population-wide basis. Therefore, desirable features of a visualization system for evolutionary data are the capability of showing the status of the population at any given moment in time, good scalability, and smooth transition between high-level and low-level views. We propose a multi-scale visualization method, including a novel tree layout that both shows population status over time and can easily scale to very large populations. From this layout, the user can navigate to visualizations for moments in time or for individual entities. We demonstrate the effectiveness of the visualization on an existing evolutionary simulation called EVE: Evolution in Variable Environments.
AB - Evolutionary simulations can produce datasets consisting of thousands or millions of separate entities, complete with their genealogical relationships. Biologists must examine this data to determine when and where these entities have changed, both on an individual basis and on a population-wide basis. Therefore, desirable features of a visualization system for evolutionary data are the capability of showing the status of the population at any given moment in time, good scalability, and smooth transition between high-level and low-level views. We propose a multi-scale visualization method, including a novel tree layout that both shows population status over time and can easily scale to very large populations. From this layout, the user can navigate to visualizations for moments in time or for individual entities. We demonstrate the effectiveness of the visualization on an existing evolutionary simulation called EVE: Evolution in Variable Environments.
KW - H.5.m [Information Interfaces and Presentation]: Miscellaneous Multi-scale visualization
KW - J.3 [Computer Applications]: Life and Medical Sciences Biology and Genetics
UR - http://www.scopus.com/inward/record.url?scp=84255188304&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84255188304&partnerID=8YFLogxK
U2 - 10.1109/BioVis.2011.6094059
DO - 10.1109/BioVis.2011.6094059
M3 - Conference contribution
AN - SCOPUS:84255188304
SN - 9781467300025
SP - 143
EP - 150
BT - IEEE Symposium on Biological Data Visualization 2011, BioVis 2011 - Proceedings
ER -