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📦 - Supporting information and notebooks to "EnzymeML: seamless data flow and modeling of enzymatic data"

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This repository accompanies the paper Lauterbach 2022

The folder structure follows the structure of the paper.
Here you can find all data and Jupyter Notebooks.

Using the Jupyter Notebooks

With Binder

You can use Binder to run the Jupyter Notebooks online, by clicking on this badge:
Binder
(NOTE: you will be directed to Binder, this will not open a new tab! You can use right-click -> Open in new Tab)

This will start a JupyterLab session in your browser.
On the left you find the folder structure. Double-click on the folder you want to open, e.g. Scenario6. The Jupyter Notebooks have a small orange image icon. Double-click on the notebook you want to run.
Now you can interact with the notebook. To run all cells click the icon with the two arrows, left of Download, and click on Restart in the popup.
Each cell will automatically run from top to bottom. When a code cell was run a number appears in the brackets on the left.

With google Colaboratory

Instead of Binder you can use google Colaboratory (Colab) to run a Jupyter Notebook. Each notebook prepared to run in Colab has a Colab badge which looks like this:
Colab
Clicking on the badge will redirect you to google Colab.
To run the notebook select Runtime->Run all or use the keyboard shortcut Ctrl+F9.

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📦 - Supporting information and notebooks to "EnzymeML: seamless data flow and modeling of enzymatic data"

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