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

DOI

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.

Identifier
DOI https://doi.org/10.18419/darus-3337
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-3337
Provenance
Creator Häußler, Max ORCID logo
Publisher DaRUS
Contributor Häußler, Max; Pleiss, Juergen
Publication Year 2023
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Häußler, Max (Universität Stuttgart); Pleiss, Juergen (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/plain; text/markdown; text/x-python; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/x-ipynb+json; image/png; application/octet-stream; image/jpeg; application/vnd.ms-excel.sheet.macroenabled.12
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Version 1.0
Discipline Chemistry; Natural Sciences