This is a project carried out at the University of Lund for the course called "Reproducible and Interactive Data Science using the Jupyter Notebook". The notebook explains and elaborate upon some of the data analysis carried out in my masters thesis. Read more in the notebook!
Hello there!
To run the notebook you'll have to do the following.
1. If you do not have anaconda, install Anaconda. This will also install the Jupyter Notebook for you. Alternatively install Jupyter Notebook seperately.
2. Clone this repository with git:
git clone <URL for this repository>
Alternatively you can also download it from GitHub.
3. Navigate to the project folder
4. Install the enviroment.yml file with Anaconda.
In the terminal write:
conda env create -f environmental.yml
Alternatively use pip if you did not install Anaconda
pip install <required packages>
For required packages see the enviroment.yml file.
5. Activate the new environment with Anaconda like so:
source activate padesign
If you have windows exclude the "source"
6. Run Jupyter Notebook by writing the following in the terminal
jupyter notebook
Send a message to mads.jeppesen@biochemistry.lu.se for any questions.