Deterministic and stochastic population-level simulations of an artificial lac operon genetic network
Department of Chemical and Biomolecular Engineering, Rice University, Houston, TX 77005, USA
BMC Bioinformatics 2011, 12:301 doi:10.1186/1471-2105-12-301Published: 26 July 2011
Additional file 1:
Supplementary text that includes: (1) detailed descriptions of the population level modeling frameworks for deterministic and stochastic reaction dynamics; (2) a discussion of asymmetric volume partitioning; (3) the derivations of the partitioning probabilities for population models with deterministic reaction dynamics (4) the structured continuum model simulated in Figure 6 and Figure 7.
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