SloppyCell

SloppyCell is a software environment for simulation and analysis of biomolecular networks. Features: support for much of the Systems Biology Markup Language (SBML) level 2 version 3; deterministic and stochastic dynamical simulations; sensitivity analysis without finite-difference derviatives; optimization methods to fit parameters to experimental data; simulation of multiple related networks sharing common parameters; stochastic Bayesian analysis of parameter space to estimate error bars associated with optimal fits.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 3 articles )

Showing results 1 to 3 of 3.
Sorted by year (citations)

  1. Letham, Benjamin; Letham, Portia A.; Rudin, Cynthia; Browne, Edward P.: Prediction uncertainty and optimal experimental design for learning dynamical systems (2016)
  2. Fozard, John A.; King, John R.; Bennett, Malcolm J.: Modelling auxin efflux carrier phosphorylation and localization (2013)
  3. Van Beek, Johannes H. G. M.; Hauschild, Anne-Christin; Hettling, Hannes; Binsl, Thomas W.: Robust modelling, measurement and analysis of human and animal metabolic systems (2009)