Adapt to Python 3.8

• Addition of cellularity estimation for mutations in aneuploid regions of the genome. This update extends the ability of the program to estimate mutation cellularity beyond those in regions which are copy neutral or harbor hemizygous loss.

• Better color handling in visualizing cluster cellularity plots (can now plot up to 15 clusters)
• Addition of Dockerfile

• Addition of POV matrix visualization
• Addition of mutation/cluster cellularity (cellular fraction) visualization
• Cellularity estimation with absent_mode: 2 with addition of pseudo counts to estimate standard deviation of mutation cellularity with 0 variant read counts
• Better error handling in HT.py

Mutation clustering module added.

Minor visualization update

• Specification of matplotlib backend in cases it is missing in config file
• Updated citation in package

Initial Release of SCHISM at the time of manuscript submission