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

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.

本硕士论文以 JupyterBook 的形式呈现，题目为《从原始数据到动力学参数：基于 EnzymeML 格式的可重复酶动力学工作流程》。JupyterBook 可通过以下链接访问：https://haeussma.github.io/masterthesis/welcome.html。论文旨在开发一个基于原始测量数据且采用 EnzymeML 格式的酶动力学参数估计工作流程。此外，数据管理亦是论文的核心内容之一。因此，本数据集包含了位于 "data" 文件夹中的所有原始测量数据，以及位于 "book" 文件夹中的以 JupyterBook 形式的论文全文。概而言之，所有数据分析以及书面报告均能被重现。