Citation:
Please cite Ruffus as:
Leo Goodstadt (2010) : Ruffus: a lightweight Python library for computational pipelines. Bioinformatics 26(21): 2778-2779
Welcome
Ruffus is designed to allow scientific and other analyses to be automated with the minimum of fuss and the least effort. These are Ruffus's strengths:
Please join me (email: ruffus_lib at llew.org.uk) in setting the direction of this project if you are interested. |
Documentation
Download Simple Tutorial Manual
(pdf) |
Table of contents Frequently Answered Questions Design Cheat Sheet |
Install Ruffus
Ruffus is available as a conda packageable package on the Python Package Index.
Just run:conda install -c bioconda ruffus
pip install ruffus
The very latest (in development) code can be obtained via git :
git clone https://github.com/cgat-developers/ruffus.git
Feedback and Getting Involved:
We would love your input and involvment. If you find a bug or would like to request an improvement please raise a github issue. for more information on how to contribute code please see the contributing section for more information on how to contribute to the project