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Project Description
# gneiss

[![Build Status](https://travis-ci.org/biocore/gneiss.png?branch=master)](https://travis-ci.org/biocore/gneiss)
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Canonically pronouced *nice*


gneiss is a compositional statistics and visualization toolbox. See [here](https://biocore.github.io/gneiss/) for API documentation.

Note that gneiss is not compatible with python 2, and is compatible with Python 3.4 or later.
gneiss is currently in alpha. We are actively developing it, and __backward-incompatible interface changes may arise__.

# Installation

To install this package, it is recommended to use conda. An environment can installed as follows

```
conda create -n gneiss_env python=3
```

gneiss then can be installed as follows
```
source activate gneiss_env
conda install pyqt=4.11.4
pip install gneiss
```

gneiss can also be installed through conda
```
conda install -c biocore gneiss
```

To run through the tutorials, you'll need a few more packages, namely `seaborn`, `biom-format` and `h5py`.
These packages can be installed with conda as follows
```
conda install seaborn h5py
pip install biom-format
```

# Examples

IPython notebooks demonstrating some of the modules in gneiss can be found as follows

* [What are balances](https://github.com/biocore/gneiss/blob/master/ipynb/balance_trees.ipynb)
* [Linear regression on balances in the 88 soils](https://github.com/biocore/gneiss/blob/master/ipynb/88soils.ipynb)
* [Linear mixed effects models on balances in a CF study](https://github.com/biocore/gneiss/blob/master/ipynb/cfstudy.ipynb)
* [Linear mixed effects models on balances in a PTSD study](https://github.com/biocore/gneiss/blob/master/ipynb/ptsd_mice.ipynb)
Release History

Release History

0.2.1

This version

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0.2.0

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0.1.3

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0.1.2

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0.1.1

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0.1.0

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Changelog content for this version goes here.

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0.0.2

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
gneiss-0.2.1.tar.gz (42.3 kB) Copy SHA256 Checksum SHA256 Source Dec 4, 2016

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