Community Simulator

Community Simulator simulates microbial community dynamics to model interactions among hundreds to thousands of interacting microbial species across varying environmental conditions and spatial structures.

Key Features:

• Initial State Preparation: Includes tools for setting up initial states and environmental conditions across multiple samples to tailor simulations to experimental or theoretical scenarios.
• Dynamic Equation Generation: Automatically generates dynamical equations from a predefined dictionary of modeling assumptions to represent community dynamics.
• Parameter Sampling: Supports random parameter sampling with adjustable levels of metabolic and taxonomic structure.
• Parallel Integration: Integrates dynamical equations in parallel to reduce simulation time.
• Metacommunity Dynamics Support: Models metacommunity dynamics by allowing migration between samples to represent spatially structured communities.
• Innovative EM Algorithm: Implements an Expectation-Maximization algorithm that leverages a duality between ecological dynamics and convex optimization to find equilibrium states, providing one to two orders of magnitude speedup over traditional numerical integration.

Scientific Applications:

• Community interaction studies: Analysis of interactions within complex microbial communities composed of hundreds to thousands of species.
• Environmental response prediction: Prediction of community responses to environmental changes and simulation of batch culture experiments.
• Theoretical model testing: Exploration and testing of ecological hypotheses and scenarios using adjustable metabolic and taxonomic structure.

Methodology:

Computational methods include automatic generation of dynamical equations from a modeling-assumption dictionary, random parameter sampling, parallel numerical integration of dynamical equations, and an Expectation-Maximization algorithm that exploits a duality between ecological dynamics and convex optimization to find equilibrium states.