sRACIPE 2.0: a systems biology circuit modeling toolkit for random circuit perturbation

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Authors: Aidan Tillman, Daniel Ramirez, Mingyang Lu
Cited by: 0
References: 21

Abstract

SUMMARY: The Random Circuit Perturbation (RACIPE) algorithm enables the exploration of the dynamical behaviors of gene regulatory circuits (GRCs) by simulating an ensemble of differential equation models via randomization of kinetic parameters. Here, we release sRACIPE 2.0, a major update to the R/Bioconductor package, as a unified platform for modeling GRCs with diverse interaction types using both deterministic and stochastic simulations. The update also introduces new features for modeling perturbation, extrinsic signaling and time-corrected noise, and a new diagnostic tool to ensure proper simulations. We hope that this release will serve as a versatile modeling toolkit for the systems biology community. AVAILABILITY AND IMPLEMENTATION: The package is available on GitHub at https://github.com/lusystemsbio/sRACIPE under the MIT license. It is also available on Bioconductor at https://www.bioconductor.org/packages/release/bioc/html/sRACIPE.html.

Fields of Study & Subjects

Gene Regulatory Network Analysis Microbial Metabolic Engineering and Bioproduction Bioinformatics and Genomic Networks

Publication details

Journal / source
Bioinformatics
Volume
42
Issue
2
Publication date
3 January 2026
Language
EN