Team:Edinburgh/Modelling/References

From 2010.igem.org

(Difference between revisions)
Line 72: Line 72:
   <li><a href="http://2010.igem.org/Team:Edinburgh/Modelling/Bacterial">the bacterial model</a></li>
   <li><a href="http://2010.igem.org/Team:Edinburgh/Modelling/Bacterial">the bacterial model</a></li>
   <li><a href="http://2010.igem.org/Team:Edinburgh/Modelling/Signalling">the signalling model</a></li>
   <li><a href="http://2010.igem.org/Team:Edinburgh/Modelling/Signalling">the signalling model</a></li>
 +
  <li><a href="http://2010.igem.org/Team:Edinburgh/Modelling/Tools">tools</a></li>
   <li><a href="http://2010.igem.org/Team:Edinburgh/Results#Modelling">results</a></li>
   <li><a href="http://2010.igem.org/Team:Edinburgh/Results#Modelling">results</a></li>
   <li><a href="http://2010.igem.org/Team:Edinburgh/Modelling/Future">future work</a></li>
   <li><a href="http://2010.igem.org/Team:Edinburgh/Modelling/Future">future work</a></li>

Revision as of 10:05, 21 October 2010







References


Danos, V. (2009). Agile Modelling of Cellular Signalling Electronic Notes in Theoretical Computer Science, Vol. 229

Danos, V., Feret, J., Fontana, W., Harmer, R. & Krivine, J. (2007). Rule-Based Modelling of Cellular Signalling. Lecture Notes in Computer Science, Vol. 4703

Endler, L., Rodriguez, N., Juty, N., Chelliah, V., Laibe, C., Li, C. & Le Novère, N. (2009). Designing and encoding models for synthetic biology Journal of The Royal Society Interface, The Royal Society, Vol. 6(Suppl 4), pp. S405

Kaznessis, Y. (2007). Models for synthetic biology BMC Systems Biology, BioMed Central Ltd, Vol. 1(1), pp. 47

Krivine, J., Danos, V. & Benecke, A. (2009). Modelling Epigenetic Information Maintenance: A Kappa Tutorial Lecture Notes in Computer Science, Vol. 5643

Palmisano, A., Mura, I. & Priami, C. (2009). From ODEs to Language-Based, Executable Models of Biological Systems Pacific Symposium on Biocomputing, Vol. 14

Thomson, T. (2009). Modelling in Synthetic Biology, http://rulebase.org/journal_pages/195850-Modeling-in-synthetic-biology