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README | 2011-04-26 | 1.7 kB | |
INSTALL | 2011-04-26 | 1.0 kB | |
cwc-simulator-v.0.5.1.tar.bz2 | 2011-04-26 | 124.3 kB | |
Totals: 3 Items | 127.0 kB | 0 |
CWC Simulator (ver. 0.5.1) ************************** This is a C++ implementation of CWC, a calculus for the representation and simulation of biological systems. After a successful installation (see INSTALL) you'll be able to run simulations over CWC models, as shown in some examples (see examples directory). * Features - Gillespie SSA algorithm over CWC models; - hybrid stochastic/deterministic semantics; - dynamic cutoff-based reconfiguration; - labelled CWC compartments; - multiple instances of simulation with online statistics; - optimization for multicore architectures based on FastFlow framework. * (Command-line) Interface As a generic user, you should run: <scwc> -i model.cwc -o statistics.dat -t <time> -s <sampling_rate> -n <runs> -r <rate_cutoff> -p <population_cutoff> -c <confidence> -q <quantiles> -w <workers> where: - <scwc> is the name of the executable (default: scwc); - model.cwc is the CWC program (see examples); - statistics.dat is the output file; - <time> is the time-limit for the simulation (i.e. 30); - <sampling_frequency> is the sampling frequency (i.e. 0.12 to get 250 points with time-limit=30); - <runs> is the number of instances of simulation; - <rate_cutoff> is the minimum rate cutoff - <population_cutoff> is the minimum population cutoff - <confidence> is the confidence-level for the statistical estimations (i.e. 95 to get 95%-confidence intervals); - <quantiles> is the number of quantiles; - <workers> has usually to match the number of cores of your system (i.e. 4 for quad-core CPU). * Output The tool produces: - some .dat files (the sampled output of the simulations) - some gnuplot scripts to draw statistical analysises