DeepVariant Caller Skill
SkillDev toolsDeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
Use DeepVariant Caller Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the DeepVariant Caller Skill
Details
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.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
deepvariant-caller- Source
- github.com/a5c-ai/babysitter