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colomoto-docker -V 2025-01-01
Packages
| Package | Version | Description |
|---|---|---|
| BNS | 1.3 | Identification of synchronous attractors |
| BoNesis | 0.6.7 | 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 | 4.0.1 | Reasoning on the response of logical signaling networks with Answer Set Programming |
| Caspo-control | 1.0 | Python interface to Caspo |
| CaSQ | 1.3.3 | Convert static interaction maps into executable models |
| GINsim | 3.0.0b | Boolean and multi-valued network modelling |
| GINsim-Python | 0.4.5 | Python interface to GINsim |
| MaBoSS | 2.6.0 | Markovian Boolean Stochastic Simulator |
| mpbn | 3.8 | Analysis and simulation of Most Permissive Boolean Networks |
| NORDic | 2.5.0 | Network Oriented Repurposing of Drugs |
| NuSMV | 2.6.0 | Symbolic model-checker |
| Pint | 2019.05.24 | Static analyzer for dynamics of Automata Networks |
| PyBoolNet | 3.0.16 | Generation, modification and analysis of Boolean networks |
| PyDrugLogics | 0.1.8 | Construct, optimize Boolean Models and perform in-silico perturbations of the models |
| PyMaBoSS | 0.8.9 | Python interface to MaBoSS |
| PyPint | 1.6.3 | 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 | 2.1.0 | scRNA-Seq data binarisation and synthetic generation from Boolean dynamics |