AI Article Synopsis
- CNApy is a Python-based open-source application designed for analyzing and designing metabolic networks using COBRA methods, featuring an intuitive graphical interface.
- It enhances the user experience compared to existing tools, like CellNetAnalyzer, by incorporating advanced features from the Qt library.
- The application can be easily installed via conda, and its source code is available for free under the Apache 2 license at GitHub.
Article Abstract
Summary: 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.
Availability And Implementation: CNApy can be installed via conda and its source code is freely available at https://github.com/cnapy-org/CNApy under the Apache 2 license.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826044 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btab828 | DOI Listing |
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