Metadata-Version: 1.2
Name: limix
Version: 1.0.18
Summary: A flexible and fast mixed model toolbox.
Home-page: https://github.com/limix/limix
Author: Christoph Lippert, Danilo Horta, Francesco Paolo Casale, Oliver Stegle
Author-email: stegle@ebi.ac.uk
Maintainer: Limix Developers
Maintainer-email: horta@ebi.ac.uk
License: Apache License 2.0
Description: # Limix
        
        [![PyPI-License](https://img.shields.io/pypi/l/limix.svg?style=flat-square)](https://pypi.python.org/pypi/limix/)
        [![PyPI-Version](https://img.shields.io/pypi/v/limix.svg?style=flat-square)](https://pypi.python.org/pypi/limix/)
        [![Anaconda-Server Badge](https://anaconda.org/conda-forge/limix/badges/version.svg)](https://anaconda.org/conda-forge/limix)
        [![Documentation Status](https://readthedocs.org/projects/limix/badge/?style=flat-square&version=latest)](https://limix.readthedocs.io/)
        
        Genomic analyses require flexible models that can be adapted to the needs of the user.
        Limix is a flexible and efficient linear mixed model library with interfaces to Python.
        
        Limix includes methods for
        - single-variant association and interaction testing,
        - variance decompostion analysis with linear mixed models,
        - association and interaction set tests,
        - as well as different utils for statistical analysis, basic i/o and plotting.
        
        A description of the public interface is found at
        https://limix.readthedocs.io/.
        
        iPython notebook tutorials are available from github repository:
        https://github.com/limix/limix-tutorials.
        
        These tutorials can also be viewed using the ipython notebook viewer:
        http://nbviewer.ipython.org/github/limix/limix-tutorials/blob/master/index.ipynb.
        
        ## Highlights
        
        - **iSet**: an interaction set test with external context
          ([paper](http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1006693))
          ([public interface](http://limix.readthedocs.io/iSet.html))
          ([tutorial](https://github.com/limix/limix-tutorials/tree/master/iSet))
        
        - **mtSet**: an efficient multi-trait set test
          ([paper](http://www.nature.com/nmeth/journal/v12/n8/abs/nmeth.3439.html))
          ([public interface](http://limix.readthedocs.io/mtSet.html))
          ([tutorial](https://github.com/limix/limix-tutorials/tree/master/mtSet))
        
        ## Install
        
        The recommended way of installing it is via
        [conda](http://conda.pydata.org/docs/index.html)
        ```bash
        conda install -c conda-forge limix
        ```
        
        An alternative way would be via pip
        ```bash
        pip install limix
        ```
        
        In the second option, you will need to sort out some of
        its dependencies.
        At least the [liknorm](https://github.com/limix/liknorm) one.
        
        ## Problems
        
        If you encounter any issue, please, [submit it](https://github.com/limix/limix/issues).
        
        ## Authors
        
        * **Christoph Lippert** - [https://github.com/clippert](https://github.com/clippert)
        * **Danilo Horta** - [https://github.com/Horta](https://github.com/Horta)
        * **Francesco Paolo Casale** - [https://github.com/fpcasale](https://github.com/fpcasale)
        * **Oliver Stegle** - [https://github.com/ostegle](https://github.com/ostegle)
        
        ## License
        
        This project is licensed under the Apache License (Version 2.0, January 2004) -
        see the [LICENSE](LICENSE) file for details
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
