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Compositional data analysis tools and visualizations

Project description


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Canonically pronouced nice

gneiss is a compositional data analysis and visualization toolbox designed for analyzing high dimensional proportions. See here 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.


To install this package, it is recommended to use conda. First make sure that the appropriate channels are configured.

conda config --add channels
conda config --add channels
conda config --add channels
conda config --add channels

Then gneiss can be installed in a conda environment as follows

conda create -n gneiss_env gneiss

To install the most up to date version of gneiss, run the following command

pip install git+


Qiime2 tutorials

Python tutorials

If you use this software package in your own publications, please cite it at

Morton JT, Sanders J, Quinn RA, McDonald D, Gonzalez A, Vázquez-Baeza Y, 
Navas-Molina JA, Song SJ, Metcalf JL, Hyde ER, Lladser M, Dorrestein PC, 
Knight R. 2017. Balance trees reveal microbial niche differentiation. 
mSystems 2:e00162-16.

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gneiss-0.4.6.tar.gz (2.8 MB view hashes)

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