About acowan

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So far acowan has created 26 blog entries.

Summer Research Projects

2018-02-26T20:29:05+00:00 July 1st, 2017|CCAM Events, News, VCell Posts|

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 […]

New publication describes hybrid deterministic – stochastic spatial solver

2016-12-28T16:02:07+00:00 December 28th, 2016|News, NRCAM publication|

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

 

VCell 6.1 released to beta site

2016-11-07T19:15:17+00:00 October 25th, 2016|News, VCell Posts|

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 […]

2016-12-06T21:26:17+00:00 September 15th, 2016|News, NRCAM publication|

2016-09-15 A new publication in Bioinformatics by Jim Schaff and Michael Blinov describes the new Rule-based modeling features in VCell 6.0. See Schaff et al., 2016. Rule-based modeling with Virtual Cell. BioInformatrics 23:2880-2882, PMID 27497444