Ingeneue

Ingeneue constructs, simulates, and analyzes ordinary differential equation (ODE) models of gene regulatory networks (GRNs) to study dynamic and spatial behaviors such as oscillations and pattern formation.

Key Features:

• ODE model construction and simulation: Constructs ordinary differential equation (ODE) models of GRNs and simulates their temporal and spatial dynamics.
• Single-cell and 2D sheet models: Supports modeling of both single-cell and two-dimensional sheet cell configurations for spatial simulations.
• Oscillatory and spatial pattern simulation: Simulates complex network behaviors including oscillatory dynamics and spatial pattern formation.
• Parameter search framework: Provides a parameter search framework to systematically explore parameter space and identify configurations that yield specified behaviors.
• Statistical analysis methods: Incorporates advanced statistical methods for exploring model behavior and dynamics.
• Model construction and debugging: Includes tools for model construction and debugging to refine GRN models.
• Visualization: Provides visualization tools to interpret and analyze simulation results.
• Implementation: Implemented in Java.

Scientific Applications:

• Gene regulatory dynamics: Study temporal dynamics of GRNs, including oscillations and transient behaviors.
• Developmental biology and pattern formation: Investigate spatial pattern formation relevant to developmental processes.
• Hypothesis testing and parameter exploration: Use parameter search and statistical analyses to test hypotheses about network behavior and parameter sensitivity.
• Single-cell and tissue-level modeling: Model behaviors at single-cell resolution and across two-dimensional cell sheets.

Methodology:

Models are defined as ordinary differential equations (ODEs) and simulated for single-cell and two-dimensional sheet cell configurations, combined with parameter search and statistical analysis; the software is implemented in Java.