This repository gathers notebooks demonstrating different software tools for the prediction of perturbations controlling the attractors of Boolean networks.
The notebooks can be visualized and downloaded at https://nbviewer.jupyter.org/github/algorecell/flavours-of-reprogramming/tree/main.
They can be executed interactively within the CoLoMoTo Docker version 2020-07-01
:
- online, using myBinder service at https://mybinder.org/v2/gh/algorecell/flavours-of-reprogramming/main
- or on your computer, provided you have Docker and Python 3 installed:
- download the notebooks from https://github.com/algorecell/flavors-of-reprogramming/archive/main.zip and extract the zip file
- execute the following commands, where
flavors-of-reprogramming
is the folder in which you extracted the notebooks
sudo pip install -U colomoto-docker # you may have to use pip3 instead of pip colomoto-docker -V 2020-07-01 --bind flavors-of-reprogramming
The following tools are demonstrated:
- ActoNet
- CABEAN, with its Python interface
cabean
- Caspo, with its Python interface
caspo-control
- StableMotifs, with its Python interface
stablemotifs