various computational biology software tools, including their types, functionalities, and access to their project websites, source codes, and demos.
Analysis and comprehension tool leveraging the open-source statistical language, R. AMI and Docker images are available.
A standalone program supporting SBML standard models, capable of simulating behavior using ODEs or the Gillespie stochastic simulation algorithm. It includes arbitrary discrete events in simulations.
A portable simulation engine for systems and synthetic biology models in SBML format. Written in C#, it incorporates C, C++, and Python APIs.
Analysis and comprehension tool using the open-source statistical language, R. AMI and Docker images are available.
A modeling environment for simulating cell-based models with ordinary differential equations and reaction–diffusion systems. It supports multiscale biological models defined in biological terms and mathematical expressions.
Incorporates a detailed diagram that can be mapped to models or experimental results, allowing various mathematical analyses to be run on those models.
Performs guaranteed parameter set synthesis for ODE biological models expressed in SBML based on desired behavior expressed by time-series data.
Provides tools for analyzing cellular systems, including a human-readable model description language, a structural, and a bifurcation analysis module. Supports SBML and SED-ML.
A programming, modeling, specifying, and simulating language for the behavior of cells in growing microcolonies of microorganisms.