boolevard 0.1.0

BooLEVARD: Boolean Logical Evaluation of Activation and Represion in Directed pathways

BooLEVARD

BooLEVARD is a Python package designed to compute the number of paths leading to node activations or inactivations in Boolean models.

Features

• Import Boolean models in .bnet format.
• Compute the number of paths leading to the local states of a list of nodes.
• Perform model perturbations.
• Export back models to .bnetformat.

Instalation from PyPI:

To install BooLEVARD from PyPi, install the main package using pip:

pip install boolevard

The dependencies can be installed by running the following code:

pip install -r https://raw.githubusercontent.com/farinasm/boolevard/main/requirements.txt

Installation with conda

To install BooLEVARD using conda, install the main package using conda:

conda install farinasm::boolevard

Installation from source

To install the latest development version, BooLEVARD can also be installed from the source:

git clone https://github.com/farinasm/boolevard.git
cd boolevard
pip install .
pip install -r requirements.txt

Documentation

For full BooLEVARD documentaiton visit our GitHub Documentation page.

A quick tutorial is available here.

Citing BooLEVARD and Contributors

Citation not available. BooLEVARD has not been published and is not available as pre-print yet.

Contributors: Marco Fariñas, Eirini Tsirvouli, John Zobolas, Tero Aittokallio, Åsmund Flobak, Kaisa Lehti.

Contact: Marco Fariñas - [e-mail]