The CoLoMoTo Interactive Notebook relies on Docker and Jupyter technologies to provide a unified environment to edit, execute, share, and reproduce analyses of qualitative models of biological networks.
You need Docker and Python. We support GNU/Linux, macOS, and Windows.
Install the helper script in a terminal:
pip install -U colomoto-docker # or python3 -m pip install ..
The CoLoMoTo notebook can be started by executing in a terminal (if using Docker Toolbox, in a Docker Terminal):
colomoto-docker
The container can be stopped by pressing Ctrl+C keys.
A specific tag can be specified using the -V option. For example:
colomoto-docker -V latest # fetches the latest published image
colomoto-docker -V 2024-04-01 # fetches a specific image
Warning: by default, the files within the Docker container are isolated from the running host computer, therefore files are deleted after stopping the container, except the files within the persistent directory.
To have access to the files of your current directory you can use the --bind option:
colomoto-docker --bind .
See usage guide for further options and alternative methods.
See how to add your tool.