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mfapy: An open-source Python package for (13)C-based metabolic flux analysis
(13)C-based metabolic flux analysis ((13)C-MFA) is an essential tool for estimating intracellular metabolic flux levels in metabolic engineering and biology. In (13)C-MFA, a metabolic flux distribution that explains the observed isotope labeling data was computationally estimated using a non-linear...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322459/ https://www.ncbi.nlm.nih.gov/pubmed/34354925 http://dx.doi.org/10.1016/j.mec.2021.e00177 |
Sumario: | (13)C-based metabolic flux analysis ((13)C-MFA) is an essential tool for estimating intracellular metabolic flux levels in metabolic engineering and biology. In (13)C-MFA, a metabolic flux distribution that explains the observed isotope labeling data was computationally estimated using a non-linear optimization method. Herein, we report the development of mfapy, an open-source Python package developed for more flexibility and extensibility for (13)C-MFA. mfapy compels users to write a customized Python code by describing each step in the data analysis procedures of the isotope labeling experiments. The flexibility and extensibility provided by mfapy can support trial-and-error performance in the routine estimation of metabolic flux distributions, experimental design by computer simulations of (13)C-MFA experiments, and development of new data analysis techniques for stable isotope labeling experiments. mfapy is available to the public from the Github repository (https://github.com/fumiomatsuda/mfapy). |
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