Releases: molgenis/vip
Releases · molgenis/vip
v1.2.1
v1.1.1
v1.2.0
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%)
Bug Fixes
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