DeepVariant Caller Skill
SkillDev toolsDeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the DeepVariant Caller Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/bioinformatics/skills/deepvariant-caller/SKILL.md and read by ahel’s review.
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)
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
deepvariant-caller- Source
- github.com/a5c-ai/babysitter