Boolean network sketches: a unifying framework for logical model inference.

Motivation: The problem of model inference is of fundamental importance to systems biology. Logical models (e.g.

AEON.py: Python library for attractor analysis in asynchronous Boolean networks.

Summary: AEON.py is a Python library for the analysis of the long-term behaviour in very large asynchronous Boolean networks. It provides significant computational improvements over the state-of-the-art methods for attractor detection.

Exploring attractor bifurcations in Boolean networks.

Background: Boolean networks (BNs) provide an effective modelling formalism for various complex biochemical phenomena. Their long term behaviour is represented by attractors-subsets of the state space towards which the BN eventually converges. These are then typically linked to different biological phenotypes.