HTMEK-workup provides an interactive interface written in Python to work up kinetic data from HT-MEK experiments. Filtering criteria and kinetic fitting methodology are based on Markin, Mokhtari, et al. 2021
This is a Python interface for processing HT-MEK data. It is written in Python and uses ipywidgets elements to provide an interactive interface in a compatible environment (e.g. Jupyter, IDE renderer). The interface is designed to be used with the HT-MEK tabular data format but can be amended in the first section of the ipynb pipeline.
To use the package, clone the repository via GitHub desktop or from the terminal with the following command:
git clone https://github.com/FordyceLab/htmek-workup.git
Then, open one of the example ipynb and import the processing scripts from the main directory:
from experiment_processing import processing
This will import the processing module. The processing module includes methods for fitting and filtering data, plotting PDF summaries of HT-MEK data, and exporting measured parameters as tabular data to a CSV file.
This project is licensed under the terms of the MIT license.