deepvariant-caller
// DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
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stars:384
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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)