LIMIX is a flexible and efficient linear mixed model library with interfaces to Python and other scripting languages.
By Christoph Lippert (lippert@microsoft.com), Franceso Paolo Casale (casale@ebi.ac.uk), and Oliver Stegle (stegle@ebi.ac.uk)
Genomic analyses require flexible models that can be adapted to the needs of the user. LIMIX is smart about how particular models are fit to safe computational cost.
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Recommended is an installation via pypi.
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pip install limix will work on most systems.
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LIMIX is particular easy to install using the anaconda python distribution: https://store.continuum.io/cshop/anaconda.
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If you want to install LIMIX from source you require: Python:
- scons, scipy, numpy, pandas
- Swig:
- swig 2.0 or higher
A good starting point is our package Vignettes. These tutorials can are available in this repository: https://github.com/PMBio/limix-tutorials.
The main package vignette can also be viewed using the ipython notebook viewer: http://nbviewer.ipython.org/github/pmbio/limix-tutorials/blob/master/index.ipynb. Alternative the sources file is available in the separate LIMIX tutorial repository: https://github.com/PMBio/limix-tutorials
If you want to use LIMIX and encounter any issues, please contact us by email: limix@mixed-models.org
See [LICENSE] https://github.com/PMBio/limix/blob/master/license.txt