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Toolkit for benchmarking, merging, and annotating Structural Variants

📚WIKI page has detailed user documentation.
🛠️Developer Docs for the truvari API.
📈 SeeUpdates on new versions.
📝 Read our Papers (#1,#2) to learn more.

Truvari uses Python 3.6+ and can be installed with pip:

  python3 -m pip install Truvari

For details and more installation options, seeInstallation on the wiki.

Each sub-command contains help documentation. Start withtruvari -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.fa -o output_dir/

Find more matches by harmonizing phased varians using refine:

   truvari refine output_dir/

Use Truvari's comparison engine to consolidate redundant variants in a merged multi-sample VCF:

    bcftools merge -m none sampleA.vcf.gz sampleB.vcf.gz | bgzip > merge.vcf.gz    tabix merge.vcf.gz    truvari collapse -i merge.vcf.gz -o truvari_merge.vcf

• bench - Performance metrics from comparison of two VCFs
• collapse - Collapse possibly redundant VCF entries
• refine - Automated bench result refinement with phab
• anno - Add SV annotations to a VCF
• phab - Harmonize variant representations using MSA
• consistency - Consistency report between multiple VCFs
• vcf2df - Turn a VCF into a pandas DataFrame
• segment - Normalization of SVs into disjointed genomic regions
• stratify - Count variants per-region in vcf
• divide - Divide a VCF into independent shards
• ga4gh - Consolidate benchmarking result VCFs

All documentation about Truvari is on theWIKI. Additional information about using Truvari can be found inDiscussions