A flexible and fast mixed model toolbox written in C++/python

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  • License: BSD
  • Author: Limix Developers
  • Tags linear mixed models, GWAS, QTL, Variance component modelling
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# LIMIX

## What is LIMIX?

LIMIX is a flexible and efficient linear mixed model library with interfaces to Python.
Limix is currently mainly developed by

Franceso Paolo Casale (casale@ebi.ac.uk)
Danilo Horta (horta@ebi.ac.uk)
Christoph Lippert (chrisoph.a.lippert@gmail.com)
Oliver Stegle (stegle@ebi.ac.uk)


## Philosophy

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.


## Installation:

* Recommended is an installation via pypi.
* pip install limix will work on most systems.
* LIMIX is particular easy to install using the anaconda python distribution: https://store.continuum.io/cshop/anaconda.

* If you want to install LIMIX from source you require:
Python:
- scipy, numpy, pandas, cython

* Swig:
- swig 2.0 or higher (only required if you need to recompile C++ interfaces)

## How to use LIMIX?
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

## Problems ?
If you want to use LIMIX and encounter any issues, please contact us by email: limix@mixed-models.org

## License
See [LICENSE] https://github.com/PMBio/limix/blob/master/license.txt

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