RACIPE

RACIPE: Random Circuit Perturbation Analysis of Gene Regulatory Networks

RACIPE models gene regulatory circuits using network topology as the sole input and generates ensembles of models with randomized kinetic parameters to identify robust dynamical behaviors and gene expression patterns without requiring detailed kinetic information.

Key Features:

• Parameter Randomization: Generates ensembles of circuit models by randomizing kinetic parameters across multiple iterations to capture diverse network behaviors.
• Statistical Identification of Robust Dynamics: Performs statistical analysis on model ensembles to identify stable gene expression patterns and infer functions of genes and regulatory links.

Scientific Applications:

• Gene Regulatory Network Analysis: Characterizes dynamical properties of gene regulatory circuits, including coupled toggle-switch circuits and networks involved in B-lymphopoiesis.

Methodology:

RACIPE constructs mathematical models from network topology, assigns randomized kinetic parameters to generate multiple model instances, simulates network dynamics for each instance, and applies statistical analysis to the resulting ensemble to extract robust dynamical features and regulatory interactions.