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Toolkit for benchmarking, merging, and annotating Structrual Variants
WIKI page has detailed documentation.
See Updates on new versions.
Read our Paper for more details.
Truvari uses Python 3.6+ and can be installed with pip:
python3 -m pip install Truvari
For details and more installation options, see Installation on the wiki.
Each sub-command contains help documentation. Start with truvari -h
to see available commands.
The current most common Truvari use case is for structural variation benchmarking:
truvari bench -b base.vcf.gz -c comp.vcf.gz -f reference.fasta -o output_dir/
- bench - Performance metrics from comparison of two VCFs
- collapse - Collapse possibly redundant VCF entries
- anno - Add SV annotations to a VCF
- vcf2df - Turn a VCF into a pandas DataFrame
- consistency - Consistency report between multiple VCFs
- divide - Divide a VCF into independent parts
- segment - Normalization of SVs into disjointed genomic regions
Find more details and discussions about Truvari on the WIKI page.