Model, simulate, and analyze biochemical systems with a single tool.
Tellurium is a Python-based environment for model building, simulation, and analysis of biochemical networks. It supports various modeling formats like SBML, Antimony, and CellML, allowing users to create and simulate complex biological systems. Tellurium integrates with libRoadRunner for efficient simulations and provides tools for parameter scanning, steady-state analysis, and stochastic simulations. Its capabilities include advanced plotting, SED-ML support for reproducible simulations, and COMBINE archive handling for model exchange. Tellurium is targeted towards researchers and students in systems biology and related fields who need a comprehensive platform for simulating and analyzing biological models.
Tellurium is a Python-based environment for model building, simulation, and analysis of biochemical networks.
Explore all tools that specialize in model biochemical systems using sbml, antimony, and cellml. This domain focus ensures Tellurium delivers optimized results for this specific requirement.
Explore all tools that specialize in simulate biochemical models using deterministic and stochastic methods. This domain focus ensures Tellurium delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze model behavior through parameter scans and steady-state analysis. This domain focus ensures Tellurium delivers optimized results for this specific requirement.
Explore all tools that specialize in visualize simulation results using integrated plotting tools. This domain focus ensures Tellurium delivers optimized results for this specific requirement.
Explore all tools that specialize in export models and simulation results in standard formats. This domain focus ensures Tellurium delivers optimized results for this specific requirement.
Explore all tools that specialize in create reproducible simulations using sed-ml. This domain focus ensures Tellurium delivers optimized results for this specific requirement.
Tellurium supports SED-ML (Simulation Experiment Description Markup Language) for defining simulation experiments in a reproducible manner. This allows users to encode simulation protocols and share them with others.
Tellurium can create, execute, and convert COMBINE (Computational Modeling in Biology Network) archives. COMBINE archives bundle multiple files related to a simulation, such as model definitions, SED-ML descriptions, and metadata.
Tellurium integrates with libRoadRunner to perform stochastic simulations using Gillespie's algorithm. This allows users to model systems where random fluctuations are important.
Tellurium provides functionality to perform parameter scans, allowing users to explore the effect of parameter variations on model behavior. This is useful for sensitivity analysis and model calibration.
Tellurium can compute the steady state of a model, which is the state where the concentrations of all species remain constant over time. This is useful for understanding the long-term behavior of a system.
Install Tellurium using pip: `pip install tellurium`
Import the tellurium package in Python: `import tellurium as te`
Load a model from an SBML file: `r = te.loadSBMLModel('model.xml')`
Simulate the model: `result = r.simulate(0, 10, 100)`
Plot the simulation results: `r.plot(result)`
Create a model using Antimony syntax: `r = te.loada('S1 -> S2; k1*S1; k1 = 0.1; S1 = 10')`
Explore advanced features like parameter scans and steady-state analysis using the Tellurium documentation.
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