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deepvariant-caller

// DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection

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stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namedeepvariant-caller
descriptionDeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
allowed-toolsRead,Write,Glob,Grep,Edit,WebFetch,WebSearch,Bash
metadata[object Object]

DeepVariant Caller Skill

Purpose

Enable DeepVariant deep learning variant calling for high-accuracy SNV and indel detection.

Capabilities

  • GPU-accelerated variant calling
  • WGS/WES/PacBio mode selection
  • Model customization and retraining
  • Confidence calibration
  • Multi-sample variant calling
  • Docker/Singularity deployment

Usage Guidelines

  • Select appropriate model for sequencing type
  • Use GPU acceleration when available
  • Validate accuracy against benchmark datasets
  • Consider container deployment for reproducibility
  • Document model version and parameters
  • Compare with traditional callers for validation

Dependencies

  • DeepVariant
  • Parabricks

Process Integration

  • Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)
  • Long-Read Sequencing Analysis (long-read-analysis)
  • Analysis Pipeline Validation (pipeline-validation)