Python library for attractor identification and control in Boolean networks
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Updated
Sep 23, 2025 - Jupyter Notebook
Python library for attractor identification and control in Boolean networks
Synthesis and Reprogramming of Most Permissive Boolean Networks
scBoolSeq: scRNA-Seq data binarisation and synthetic generation from Boolean dynamics
Distributed simulations and analysis of synchronous Boolean networks
BANG is a Python package dedicated to analysis, simulation, and control of Boolean networks with the help of CUDA.
In silico therapeutic target discovery using network attractors: avoiding pathological phenotypes
The biologist's Boolean attractor landscape mapper, building Waddington landscapes from Boolean networks.
scRNA2BoNI - A general framework to infer Boolean networks from scRNAseq data.
Enhancing Boolean networks with continuous logical operators and edge tuning: smoothing simulations
Notebooks demonstrating colomoto.minibn for computing dynamics of Boolean networks with various update modes
BoNesisTools is a python package proposing bioinformatics tools for upstream and downstream analysis of BoNesis framework
Executable paper and data demonstrating marker reprogramming of Boolean networks with BoNesis
This includes boolean logic codes and diagram for endometrial cancer
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