CeCaFLUX: the first web server for standardized and visual instationary 13C metabolic flux analysis.

Liu, Zhentao; Zhang, Zhengdong; Liang, Sheng; Chen, Zhen; Xie, Xiaoyao; Shen, Tie · Bioinformatics · 2022

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Abstract

The number of instationary 13C-metabolic flux (INST-MFA) studies grows every year, making it more important than ever to ensure the clarity, standardization and reproducibility of each study. We proposed CeCaFLUX, the first user-friendly web server that derives metabolic flux distribution from instationary 13C-labeled data. Flux optimization and statistical analysis are achieved through an evolutionary optimization in a parallel manner. It can visualize the flux optimizing process in real-time and the ultimate flux outcome. It will also function as a database to enhance the consistency and to facilitate sharing of flux studies. CeCaFLUX is freely available at https://www.cecaflux.net, the source code can be downloaded at https://github.com/zhzhd82/CeCaFLUX. Supplementary data are available at Bioinformatics online.

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