Framework to connect computional steps with an emphasis on RNA-Seq

pip install railroadtracks==0.4.0




Railroadtracks is a Python package to handle connected computation steps for DNA and RNA Seq.

PyPI version

Master Build Status
version_0.4.x Build Status
version_0.3.x Build Status


The documentation should be consulted for information about the requirements and the installation process.

While we are working on a link to a build of the documentation, the Sphinx source for it are be consulted: doc/installation.rst.

Released versiond are available on Pypi. Installing the latest release is as easy as:

pip install railroadtracks

The use the development version, the master branch can be installed with

pip install https://github.com/Novartis/railroadtracks/archive/master.zip

A Docker container is also availale (lgautier/railroadtracks).

# pull the Docker images from docker.io
docker pull lgautier/railroadtracks 
# Run an ipython notebook server from the container
docker run -it -p 8888:8888 -w /usr/local/packages/railroadtracks/doc/notebooks lgautier/railroadtracks ipython notebook --ip= --no-browser

A browser running on the same machine as the container can then be pointed to: http://localhost:8888

If on a non-Linux system using boot2docker, you may have to point your browser to the IP mapped to the VM docker is running in. The IP can be obtained with:

boot2docker ip


Sphinx documentation is included in the source tree. An HTML build of the documentation is available at http://pythonhosted.org/railroadtracks/.

The tutorial http://pythonhosted.org/railroadtracks/tutorial.html is a genuine notebook rendered into the Sphinx document. The notebook and an HTML render of it are available, and running ipython notebook through the container (see above) provides a complete environment to go through the tutorial.