SBML-SAT specifications

Information


Unique identifier OMICS_20206
Name Systems Biology Markup Language based Sensitivity Analysis Tool
Software type Application/Script
Interface Graphical user interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages MATLAB
Computer skills Medium
Requirements SBMLToolbox, SUNDIALS TB
Maintained No

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SBML-SAT article

SBML-SAT institution(s)
Computational Systems Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany; Entelos Inc., Foster City, CA, USA; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA; Theoretical Biophysics, Humboldt University Berlin, Institute for Biology, Berlin, Germany
SBML-SAT funding source(s)
Supported by PhD program of the IMPRS for Computational Biology and Scientific Computing; the Yeast System Biology Network (YSBN, EU project: grant LSHG-CT-2005-018942).

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