Martin Luboschik
Institute for Computer Science, University of Rostock, Germany
Christian Tominski
Institute for Computer Science, University of Rostock, Germany
Arne T. Bittig
Institute for Computer Science, University of Rostock, Germany
Adelinde M. Uhrmacher
Institute for Computer Science, University of Rostock, Germany
Heidrun Schumann
Institute for Computer Science, University of Rostock, Germany
Ladda ner artikel
Ingår i: Proceedings of SIGRAD 2012; Interactive Visual Analysis of Data; November 29-30; 2012; Växjö; Sweden
Linköping Electronic Conference Proceedings 81:13, s. 91-94
Publicerad: 2012-11-20
ISBN: 978-91-7519-723-4
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In this work; we aim at facilitating the analysis of spatial simulations of particles at the microscopic level. This level poses significant challenges to interactive visual analysis tools. On the one hand; the data may contain up to 100.000 data points; and on the other hand; the data exhibit Brownian motion. As a first step to deal with these challenges; we apply well-accepted techniques to visualize the data and to allow analysts to interact with the data and their visual representation. Preliminary results from a spatial simulation of protein–lipid-raft interaction indicate that interactive visual solutions are indeed a useful addition to the modeling and simulation toolbox.
[AAH?11] ANDRIENKO G.; ANDRIENKO N.; HURTER C.; RINZIVILLO S.; WROBEL S.: From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data. In Proceedings of the IEEE Symposium on Visual Analytics Science and Technology (VAST) (2011); IEEE Computer Society; pp. 161–170. 92
[BHMU11] BITTIG A. T.; HAACK F.; MAUS C.; UHRMACHER A. M.: Adapting Rule-based Model Descriptions for Simulating in Continuous and Hybrid Space. In Proceedings of the International Conference on Computational Methods in Systems Biology (2011); ACM; pp. 161–170. 91
[CCFV05] CECCONI F.; CENCINI M.; FALCIONI M.; VULPIANI A.: Brownian Motion and Diffusion: From Stochastic Processes to Chaos and Beyond. Chaos: An Interdisciplinary Journal of Nonlinear Science 15; 2 (2005); 026102–1–026102–9. 91
[HB03] HARROWER M. A.; BREWER C. A.: ColorBrewer.org: An Online Tool for Selecting Color Schemes for Maps. The Cartographic Journal 40; 1 (2003); 27–37. 93
[KYS09] KIKUCHI A.; YAMAMOTO H.; SATO A.: Selective Activation Mechanisms of Wnt Signaling Pathways. Trends in Cell Biology 19; 3 (2009); 119–129. 91
[NBPH06] NICOLAU D. V.; BURRAGE K.; PARTON R. G.; HANCOCK J. F.: Identifying Optimal Lipid Raft Characteristics Required To Promote Nanoscale Protein-Protein Interactions on the Plasma Membrane. Molecular and Cellular Biology 26; 1 (2006); 313–323. 91
[TTNtW10] TAKAHASHI K.; TA? NASE-NICOLA S.; TEN WOLDE P. R.: Spatio-temporal Correlations Can Drastically Change the Response of a MAPK Pathway. Proceedings of the National Academy of Sciences 107; 6 (2010); 2473–2478. 91
