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RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology MarkupLanguage. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.
The target system of this project is to develop mathematically efficient program code generator from cellml like biological models described by mathematical markup languages.
Integrated environment for the modelling and simulation of process control systems, where the plant(s) are described according to the Modelica object-oriented paradigm, while the control systems are specified in an IEC 61131.3-compliant language.
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