v1.1.0

New Features

• Replaced variant filtering with filtering based on variant classification using a decision tree
  • Before: filter variants that have a CAPICE score >= 0.9
  • After: filter using classes applied by a decision tree that considers FILTER, CAPICE and VKGL values
• Performance improvements (reduces runtime by 50%)
  • #36 Use CAPICE precomputed scores
  • #38 Skip precomputed CADD scores for CAPICE

Bug Fixes

• #32 Module unload doesn't unload dependencies
• #40 Script fails when trying to run from a different directory

v1.0.0

New Features

• Variant Interpretation Pipeline consisting of the following steps
  • Normalize and realign variants from an input VCF file
  • Annotate variants using VEP (Variant Effect Predictor), CAPICE and VKGL (Export June 2020)
  • Filter variants that have a CAPICE score >= 0.9
  • Generate a VCF report with references to VIBE for input phenotypes