PyBoolNet: a python package for the generation, analysis and visualization of boolean networks | Zendy

Hannes Klarner | Zendy; Adam Streck | Zendy; Heike Siebert | Zendy

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PyBoolNet: a python package for the generation, analysis and visualization of boolean networks

Author(s) -

Hannes Klarner,

Adam Streck,

Heike Siebert

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw682

Subject(s) - python (programming language) , computer science , computation , visualization , theoretical computer science , programming language , graph , boolean network , graph drawing , and inverter graph , boolean function , algorithm , boolean expression , data mining

The goal of this project is to provide a simple interface to working with Boolean networks. Emphasis is put on easy access to a large number of common tasks including the generation and manipulation of networks, attractor and basin computation, model checking and trap space computation, execution of established graph algorithms as well as graph drawing and layouts.

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