Build Hail Table artifacts from ClinVar VCF releases for variant annotation.
npx skills add https://github.com/bigbio/hvantk --skill hvantk-resource-clinvar
Please help me install this Agent Skill. Skill: hvantk:resource-clinvar Source: https://github.com/bigbio/hvantk/tree/main/hvantk/skills/clinvar Command: npx skills add https://github.com/bigbio/hvantk --skill hvantk-resource-clinvar
This skill automates the complex process of building, updating, and managing ClinVar variant annotation tables, ensuring your genomic analysis pipeline uses the most current and accurately parsed clinical data.
Use the hvantk reprocess clinvar:variants command to build the latest ClinVar annotation table from the raw data directory.
High-intent search queries and answers about installing and using this skill.
To build a Hail Table from ClinVar VCF, use the automated build pipeline to parse raw VCF files into optimized, queryable Hail Tables. This streamlines transformation and ensures accurate variant annotation for genomic analysis workflows.
Yes, you can derive pathogenicity training labels for machine learning models directly from ClinVar annotations. The skill integrates clinical significance and pathogenicity classifications to facilitate training label generation.
To keep ClinVar variant annotation tables updated, use the lifecycle management tools to download, verify, and re-process monthly ClinVar releases. This ensures your genomic pipeline uses the most current clinical data.
Yes, Hail is a required dependency to build and manage these high-performance ClinVar variant annotation tables. The pipeline transforms raw VCF data into optimized Hail Table artifacts for multiomics analysis.
The best way to parse clinical significance and disease associations from ClinVar VCF files is using an automated build pipeline with robust parsing, validation, and provenance tracking to ensure data integrity across large-scale genomic workflows.
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