v1.3.1

What's new:

• Reduced Pytor file size by compressing the BAF likelihood matrix
• Option to avoid storing the full BAF likelihood matrix (-nolh), drastically reducing the final Pytor file size to less than 50 MB
• If the full BAF likelihood matrix is not stored in Pytor file, during -call step likelihood will be calculated during run time
• Introduced plotting parameter "lh_lite," used when the full BAF likelihood matrix is not present in the Pytor file
• Implemented log scale for Manhattan plot (#126)
• Added plot RD difference/ratio between two samples (#151)
• Updated the code for VCF output
• Included an error log for missing annotation links in reference genome settings
• Added matplotlib_use parameter to set the Matplotlib backend

v1.2.1

Updates

1. Introduction of Semantic Versioning
2. Docs Update

Bug fixes

1. SNP count
2. #88

v1.0

CNVpytor: a python extension of CNVnator

CNVpytor is a Python package and command line tool for CNV/CNA analysis from depth-of-coverage by mapped reads developed in Abyzov Lab, Mayo Clinic.