Cargando…
CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks
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 i...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826044/ https://www.ncbi.nlm.nih.gov/pubmed/34878104 http://dx.doi.org/10.1093/bioinformatics/btab828 |
_version_ | 1784647349491990528 |
---|---|
author | Thiele, Sven von Kamp, Axel Bekiaris, Pavlos Stephanos Schneider, Philipp Klamt, Steffen |
author_facet | Thiele, Sven von Kamp, Axel Bekiaris, Pavlos Stephanos Schneider, Philipp Klamt, Steffen |
author_sort | Thiele, Sven |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8826044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88260442022-02-09 CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks Thiele, Sven von Kamp, Axel Bekiaris, Pavlos Stephanos Schneider, Philipp Klamt, Steffen Bioinformatics Applications Notes 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. Oxford University Press 2021-12-08 /pmc/articles/PMC8826044/ /pubmed/34878104 http://dx.doi.org/10.1093/bioinformatics/btab828 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Thiele, Sven von Kamp, Axel Bekiaris, Pavlos Stephanos Schneider, Philipp Klamt, Steffen CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks |
title | CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks |
title_full | CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks |
title_fullStr | CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks |
title_full_unstemmed | CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks |
title_short | CNApy: a CellNetAnalyzer GUI in Python for analyzing and designing metabolic networks |
title_sort | cnapy: a cellnetanalyzer gui in python for analyzing and designing metabolic networks |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826044/ https://www.ncbi.nlm.nih.gov/pubmed/34878104 http://dx.doi.org/10.1093/bioinformatics/btab828 |
work_keys_str_mv | AT thielesven cnapyacellnetanalyzerguiinpythonforanalyzinganddesigningmetabolicnetworks AT vonkampaxel cnapyacellnetanalyzerguiinpythonforanalyzinganddesigningmetabolicnetworks AT bekiarispavlosstephanos cnapyacellnetanalyzerguiinpythonforanalyzinganddesigningmetabolicnetworks AT schneiderphilipp cnapyacellnetanalyzerguiinpythonforanalyzinganddesigningmetabolicnetworks AT klamtsteffen cnapyacellnetanalyzerguiinpythonforanalyzinganddesigningmetabolicnetworks |