Team:Edinburgh/Modelling/References
From 2010.igem.org
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
Elowitz, M.B. and Leibler, S. (2000). A synthetic oscillatory network of transcriptional regulators. Nature, Vol. 403, pp.335-338
Waters, C.M. and Bassler, B.L. (2005). Quorum Sensing: Cell-to-Cell Communication in Bacteria. Annu. Rev. Cell Dev. Biol, Vol. 21, pp.319-346
Kollmann, M., Lovdok, L., Bartholome, K., Timmer, J., and Sourjik, V. (2005). Design principles of a bacterial signalling network. Nature, Vol. 438, pp.504-507
Goryachev, A.B., Toh, D.J., Wee, K.B., Lee, T., Zhang, H.B., and Zhang, L.H. (2005). Transition to quorum sensing in an Agrobacterium population: a stochastic model. PLoS Comput Biol, Vol. 1, pp.37
Thomson, T. (2009). Modelling in Synthetic Biology, http://rulebase.org/journal_pages/195850-Modeling-in-synthetic-biology