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  • Home > Linux > Science and Engineering > Bioinformatics

    CWC Simulator 0.6

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    Category:
    Maurizio Drocco | More programs
    GPL / FREE
    July 13th, 2011, 13:33 GMT
    ROOT / Science and Engineering / Bioinformatics

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    CWC Simulator description

    C++ implementation for the simulation of bio systems

    CWC Simulator 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/).

    (Command-line) Interface

    As a generic user, you should run:

    < scwc >

    -i model.cwc
    -o < statistics >
    -t < time >
    -s < sampling_period >
    -n < runs >
    -c < clusters >
    --qt-threshold < threshold >
    -q < quantiles >
    -w < workers >

    Where:

    - < scwc > is the name of the executable (default: scwc);
     - model.cwc is the input CWC program (see examples);
     - statistics is the output-files prefix;
     - < time > is the simulation-time limit;
     - < sampling_period > is the sampling period (i.e. 0.12 to get 250 points with time-limit=30);
     - < runs > is the number of instances of simulation;
     - < clusters > is the number of clusters for k-means
     - < hreshold > is the threshold for QT clustering
     - < 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

    We're working at a comprehensive user manual.


    Product's homepage

    Here are some key features of "CWC Simulator":

    · Gillespie SSA algorithm over CWC models
    · Hybrid stochastic/deterministic semantics
    · Multiple instances of simulation with online statistics
    · Optimization for multicore architectures based on FastFlow framework
    · Extensible statistical framework (mean-variance, filtered clustering etc.)
    · Multiple rating semantics (mass action, Michaelis-Menten, Hill etc.)

      


    TAGS:

    biological systems | CWC representation | biological | CWC | simulation



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