modelMaGe 1.0 beta

:: DESCRIPTION

modelMaGe is a computational tool for automatic model management and generation. It can help you to create and manage different versions of a model you are working on. One of the main advantages is that the user only has to specify one single model structure and a set of directives that detail the family of candidate models.

• automatically generates SBML or Copasi candidate models by removing specified model components from a given master model,
• automatically documents candidate models,
• automatically fits candidate models to data using CopasiSE,
• provides a ranking of candidate models fits based on the AIC.

::DEVELOPER

modelMaGe Team

:: SCREENSHOTS

Command Line

:: REQUIREMENTS

• Windows/ Linux / Mac OsX
• Python
• Copasi
• libSBML
• networkx package for Python Version 0.36
  • tarball
  • Python 2.5 egg
  • Windows installer

:: DOWNLOAD

modelMaGe ; Manual

:: MORE INFORMATION

modelMaGe web version.

modelMaGe is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version.

Citation:

• Schaber J., Flöttmann M., Hoops S., Mendes P., Klipp E. (2009) ModelMaGe: management, generation, documentation and discrimination of candiate SBML models. submitted.
• Flöttmann M., Schaber J., Hoops S., Klipp E., Mendes P. (2008) ModelMage: A Tool for Automatic Model Generation, Selection and Management. Genome Informatics 20. <PubMed>