7-1-2017. CCAM welcomes several undergraduates and a graduate rotation student who are working on projects related to VCell this summer . Undergraduate students include Keeyan Ghoreshi, Anvin Thomas, Natalie de la Garrique and Shahan Kamal from UConn Storrs and Kevin Gaffney from the University of Oklahoma. Joe Masison is a new MD/PhD student from University of Maryland. Keeyan is working on the infrastructure for Sloppy Modeling projects, Shahan is modeling pathways using high-throuput data, Natalie […]
A new publication in PLoS Computational Biology from Boris Slepchenko and coworkers describes the new hybrid deterministic stochastic spatial solver used in VCell. Schaff, J.C., F. Gao, Y. Li, I.L. Novak, and B.M. Slepchenko. 2016. Numerical Approach to Spatial Deterministic-Stochastic Models Arising in Cell Biology. PLoS Comput Biol. 12:e1005236. PMID 27959915
2016-10-14. A new version of VCell (6.1) was released to beta site. The new version replaces VCell 6.0 in beta, and enhances the new Rule-Based Modeling capabilities available in VCell. Advantages of Rule-Based Modeling in VCell are
- Specify rule-based models in a GUI, no scripting language required
- Rule-based models can span multiple compartments
- Reactions and rules can be mixed in one model
- Full support for rules in all VCell Application types (spatial, nonspatial, deterministic, stochastic).
- A set of rules can […]