GINsim 3.1: Qualitative modelling and dynamical analysis of logical regulatory networks

GINsim is a software for the definition and dynamical analysis of qualitative (Boolean and multi-valued) models of biological regulatory networks. Building on its modular architecture, based on the MDDlib decision-diagram and bioLQM model-manipulation libraries, GINsim version 3.1 introduces new functionalities aimed at the analysis of large logical models: the symbolic computation of trap-spaces, the Booleanisation of multilevel models and the reversal of model dynamics. GINsim 3.1 also extends the estimation of attractor reachability (Monte Carlo and Avatar algorithms), the computation of stable states, as well as model reduction functionalities. Analyses can be applied to perturbed models, and scripted, in particular from the CoLoMoTo interactive notebook. We illustrate the main functionalities of GINsim on a reference multilevel model of regulatory network that control the mammalian cell cycle, including the computation of its stable states and cyclic attractor, the assessment of their reachability, and the identification of the regulatory circuits driving multistability and oscillations. GINsim is freely available under GPL-3.0 at https://ginsim.github.io/, runs on any platform supporting Java, and is interoperable with the other tools of the CoLoMoTo community. Its website provides installation instructions and reference documentation, as well as a repository of Boolean and multilevel logical models.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-11-03
DOI
https://doi.org/10.48550/arxiv.2611.04109
Primary Topic
Gene Regulatory Network Analysis
Type
preprint
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preprint

GINsim 3.1: Qualitative modelling and dynamical analysis of logical regulatory networks

Olivier Chabrol, Pedro T. Monteiro, Laurent Tichit, Denis Thieffry et al.
arXiv (Cornell University)
Gene Regulatory Network Analysis
preprint

GINsim 3.1: Qualitative modelling and dynamical analysis of logical regulatory networks

Olivier Chabrol, Pedro T. Monteiro, Laurent Tichit, Denis Thieffry, Claudine Chaouiya, Dominique Benielli
preprint en

Abstract

GINsim is a software for the definition and dynamical analysis of qualitative (Boolean and multi-valued) models of biological regulatory networks. Building on its modular architecture, based on the MDDlib decision-diagram and bioLQM model-manipulation libraries, GINsim version 3.1 introduces new functionalities aimed at the analysis of large logical models: the symbolic computation of trap-spaces, the Booleanisation of multilevel models and the reversal of model dynamics. GINsim 3.1 also extends the estimation of attractor reachability (Monte Carlo and Avatar algorithms), the computation of stable states, as well as model reduction functionalities. Analyses can be applied to perturbed models, and scripted, in particular from the CoLoMoTo interactive notebook. We illustrate the main functionalities of GINsim on a reference multilevel model of regulatory network that control the mammalian cell cycle, including the computation of its stable states and cyclic attractor, the assessment of their reachability, and the identification of the regulatory circuits driving multistability and oscillations. GINsim is freely available under GPL-3.0 at https://ginsim.github.io/, runs on any platform supporting Java, and is interoperable with the other tools of the CoLoMoTo community. Its website provides installation instructions and reference documentation, as well as a repository of Boolean and multilevel logical models.

arXiv (Cornell University)
Gene Regulatory Network Analysis
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