Lists from multiple sources for use in Mtb genomics

Includes lists of genes to mask from variant coverage due to poor short read coverage (eg PE/PPE), genes associated with drug resistance, and gene annotations

Most folders contain

1) the original data, usually a supplementary file to a publication,

2) A Jupyter notebook to translate the original data into a more readable (for humans or computers) format, and

3) The output of that transformation

To make the Jupyter notebooks git friendly, follow the steps

1. Install nbstripout pip install --upgrade nbstripout
2. Set up the git filter using .gitattributes nbstripout --install --attributes .gitattributes