CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks | Zendy

Sven Thiele | Zendy; Axel von Kamp | Zendy; Pavlos Stephanos Bekiaris | Zendy; Philipp Schneider | Zendy; Steffen Klamt | Zendy

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CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks

Author(s) -

Sven Thiele,

Axel von Kamp,

Pavlos Stephanos Bekiaris,

Philipp Schneider,

Steffen Klamt

Publication year - 2021

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/btab828

Subject(s) - python (programming language) , computer science , graphical user interface , toolbox , programming language , modular design , source code , mit license , extensibility , matlab , mac os , open source , cross platform , license , software , operating system , software engineering

Constraint-based reconstruction and analysis (COBRA) is a widely used modeling framework for analyzing and designing metabolic networks. Here, we present CNApy, an open-source cross-platform desktop application written in Python, which offers a state-of-the-art graphical front-end for the intuitive analysis of metabolic networks with COBRA methods. While the basic look-and-feel of CNApy is similar to the user interface of the MATLAB toolbox CellNetAnalyzer, it provides various enhanced features by using components of the powerful Qt library. CNApy supports a number of standard and advanced COBRA techniques and further functionalities can be easily embedded in its GUI facilitating modular extension in the future.

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