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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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colomoto/colomoto-docker: 2026-03-01

Authors: Loïc Paulevé; Aurélien Naldi; Celine Hernandez; Samuel Pastva; Gérald Point; actions-user; Kyungduk Moon; +3 Authors

colomoto/colomoto-docker: 2026-03-01

Abstract

Fetch and run this image using pip install -U colomoto-docker colomoto-docker -V 2026-03-01 Packages | Package | Version | Description | | --- | --- | --- | | AstroLogics | 0.3.2 | AstroLogics is a Python package designed for analysing monotonous Boolean model ensemble | | AEON.py | 1.3.5 | Symbolic analysis (attractors, reachability) of (partially specified) Boolean networks | | BNS | 1.3 | Identification of synchronous attractors | | BoNesis | 0.6.9 | Synthesis of Boolean Networks from architecture and dynamical properties | | BooleanNet | 1.2.8 | Simulation of Boolean regulatory networks | | boolSim | 1.2 | Attractors and reachable sets in synchronous and asynchronous Boolean networks | | boolSim-python | 0.5 | Python interface to boolSim | | BooN | 1.28 | Boolean Network Analysis: dynamics, stable states, control | | CABEAN | 1.0.0 | A Software Tool for the Control of Asynchronous Boolean Networks | | CABEAN-python | 1.0 | Python interface to CABEAN | | Caspo | 4.0.3 | Reasoning on the response of logical signaling networks with Answer Set Programming | | Caspo-control | 1.0 | Python interface to Caspo | | CaSQ | 1.4.3 | Convert static interaction maps into executable models | | GINsim | 3.0.0b | Boolean and multi-valued network modelling | | GINsim-Python | 0.4.8 | Python interface to GINsim | | MaBoSS | 2.6.5 | Markovian Boolean Stochastic Simulator | | mpbn | 4.3.1 | Analysis and simulation of Most Permissive Boolean Networks | | NORDic | 2.7.1 | Network Oriented Repurposing of Drugs | | NuSMV | 2.7.0 | Symbolic model-checker | | optboolnet | 1.0.1 | An optimization toolbox for Boolean network analysis | | Pint | 2019.05.24 | Static analyzer for dynamics of Automata Networks | | ActoNet | 1.0 | Abduction-based control of fixed points of Boolean networks | | PyBoolNet | 3.0.16 | Generation, modification and analysis of Boolean networks | | PyDrugLogics | 0.1.10 | Construct, optimize Boolean Models and perform in-silico perturbations of the models | | PyMaBoSS | 0.8.12 | Python interface to MaBoSS | | PyPint | 1.6.4 | Python interface to Pint | | pyStableMotifs | 3.0.6 | Target-control of Boolean networks | | R-BoolNet | 2.1.9 | Analysis and reconstruction of Boolean networks dynamics | | scBoolSeq | 2.3.2 | scRNA-Seq data binarisation and synthetic generation from Boolean dynamics |

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average