1. Installation

Warning

This is legacy research code. It might not work at all. Use at your own risk. Feedback is very welcome through the issue tracker.

Note

Only Python 2.7 is currently supported.

1.1. Source installation

At the moment, only source installation is supported. Use pip. Download the tarball from https://github.com/Becksteinlab/hop/releases or do a web-install (choose the appropriate URL!):

pip install https://github.com/Becksteinlab/hop/archive/release-0.4.0.tar.gz

(This will also install all dependencies.)

1.2. Conda

At the moment, we do not have a conda package. However, it is easy to set up a working environment for hop and then do the install from source described above.

conda create -c conda-forge -n hop python=2.7 numpy scipy networkx MDAnalysis matplotlib pygraphviz GridDataFormats
source activate hop
pip install https://github.com/Becksteinlab/hop/archive/release-0.4.0.tar.gz

You can then run all the hop-* scripts in this environment. (Exit the environment as usual with source deactivate.)