variant-analysis-tools

Variant analysis of VCF files involves summarizing counts of SNVs, indels, and structural variants. This Skill automates the process locally, parsing VCF/BCF files to generate counts of mutation classes and identify top affected genes for consequence triage.

Yes, you can use pysam to parse BCF files locally because this Skill requires pysam for VCF/BCF parsing. It processes the files in a Python 3 environment to triage genetic variants by consequence, such as excluding intronic variants, before downstream analysis.

You need a Python 3 environment and the pysam module installed to run this Skill. These prerequisites enable the local parsing of VCF and BCF files required to execute filtering, variant summarization, and consequence triage tasks.

After completing variant filtering and triage, you can use the generated CSV reports and JSON summaries for downstream analysis. These output formats facilitate data export, visualization, and integration into broader genomics pipelines for further biological interpretation.

For prerequisite setup, install Python 3 and pysam to enable local VCF/BCF file parsing, producing a ready-to-analyze sample dataset that meets the minimum depth and VAF threshold requirements.

For complementary analysis, use bioinformatics scripts to cross-reference filtered variant CSV reports with genomic reference datasets, producing annotated consequence summaries for targeted gene triage.