Structural Variant Detector Skill
SkillDev toolsStructural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
Use Structural Variant Detector Skill in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Structural Variant Detector 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.
No other account needed.
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/structural-variant-detector/SKILL.md and read by Ahel’s review.
Purpose
Enable structural variant detection for identifying CNVs, inversions, translocations, and complex rearrangements.
Capabilities
- Split-read and paired-end SV calling
- Copy number variation detection
- Mobile element insertion detection
- Complex SV resolution
- SV annotation and visualization
- Multi-caller integration
Usage Guidelines
- Use multiple callers for comprehensive detection
- Integrate results from different algorithms
- Validate SVs with independent methods
- Annotate SVs with functional impact
- Visualize SVs for manual review
- Document caller combinations and filters
Dependencies
- Manta
- DELLY
- CNVkit
- LUMPY
- GRIDSS
Process Integration
- Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)
- Tumor Molecular Profiling (tumor-molecular-profiling)
- Long-Read Sequencing Analysis (long-read-analysis)
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
structural-variant-detector- Source
- github.com/a5c-ai/babysitter