Canonically pronouced nice
compositional statistics and visualization toolbox +gneiss is a compositional statistics and visualization toolbox.
IPython notebooks demonstrating some of the modules in gneiss can be found as follows
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 as follows
conda install -c biocore gneiss
You can also install Gneiss via pip
pip install 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
source activate gneiss
conda install seaborn h5py
pip install biom-format