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A file format for exchanging computational models in systems biology
The Systems Biology Markup Language (SBML) is an XML-based description language for representing computational models in systems biology. Visit the project web site to learn more.
PySCeS is the Python Simulator of Cellular Systems
PySCeS is the Python Simulator of Cellular Systems. For a network of coupled reactions it does a stoichiometric matrix analysis, calculates the time course and steady state, and does a complete control analysis.
...It comes with a large number of modules, encompassing the whole modeling cycle: creating computational models, simulating and analyzing them, visualizing the information, in order to improve the models. All using community standards, such as SED-ML, SBML and MIRIAM.
RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
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YasimSBML (Yet another simulator for SBML) is a stochastic simulator of metabolic networks in SBML format. Unlike traditional simulators (Gillespie, etc.), it simulate the transformation of reactants into final products for the distribution analysis
The SBML ODE Solver is a command-line tool and programming library (ISO/ANSI C) for construction and numerical integration of an ODE system, derived from an SBML based description of a biochemical reaction network.
Development has moved to https://github.com/raim/SBML_odeSolver . Please download the latest version from there!
Braincirc is an open source modelling environment for building and sharing models. It is designed for UNIX-like systems, and is particularly appropriate for biological/chemical models. Below is the latest release with some SBML support.