idFBA – Dynamic analysis of integrated Signaling, Metabolic, and Regulatory Networks

idFBA

:: DESCRIPTION

idFBA (integrated dynamic FBA) is a flux balance analysis (FBA)-based strategy  that dynamically simulates cellular phenotypes arising from integrated networks.

::DEVELOPER

the Computational Systems Biology Laboratory, Department of Biomedical Engineering, University of Virginia.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • MatLab

:: DOWNLOAD

idFBA

:: MORE INFORMATION

Citation:

Lee, J.M., E.P. Gianchandani, J.A. Eddy, and J.A. Papin. 2008.
Dynamic analysis of integrated signaling, metabolic, and regulatory networks.
PLoS Computational Biology, 4(5): e1000086

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