Pystablemotifs

Summary: pystablemotifs is a Python 3 library for analyzing Boolean networks. Its non-heuristic and exhaustive attractor identification algorithm was previously presented in Rozum et al. (2021). Here, we illustrate its performance improvements over similar methods and discuss how it uses outputs of the attractor identification process to drive a system to one of its attractors from any initial state. We implement six attractor control algorithms, five of which are new in this work. By design, these algorithms can return different control strategies, allowing for synergistic use. We also give a brief overview of the other tools implemented in pystablemotifs.

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Work Title Pystablemotifs
Subtitle Python library for attractor identification and control in Boolean networks
Access
Open Access
Creators
  1. Jordan C. Rozum
  2. Dávid Deritei
  3. Kyu Hyong Park
  4. Jorge Gómez Tejeda Zañudo
  5. Réka Albert
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Bioinformatics
Publication Date March 1, 2022
Publisher Identifier (DOI)
  1. https://doi.org/10.1093/bioinformatics/btab825
Deposited August 01, 2022

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Version 1
published

  • Created
  • Added pystablemotifs_final.pdf
  • Added Creator Jordan C. Rozum
  • Added Creator Dávid Deritei
  • Added Creator Kyu Hyong Park
  • Added Creator Jorge Gómez Tejeda Zañudo
  • Added Creator Réka Albert
  • Published