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From raw data to kinetic parameters: an EnzymeML-based workflow for reproducible enzyme kinetics

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DaRUS2023-01-01 更新2026-04-16 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3337
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资源简介:
Master thesis in the form of a JupyterBook with the title: "From raw data to kinetic parameters: an EnzymeML-based workflow for reproducible enzyme kinetics" JupyterBook can be accessed via: https://haeussma.github.io/masterthesis/welcome.html Goal of the thesis was the development of a workflow for enzyme kinetics parameter estimation workflow, which is based on raw measurement data and utilises the EnzymeML format. Furthermore, data management was a vital aspect of the thesis. Thus this dataset contains all raw measurement data in the "data" folder, as well as the written thesis in form of a JupyterBook in the "book" folder. In summary, all data analysis as well as the written report can be reproduced.
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2023-01-01
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