genomics-sv-detection
OfficialDetect structural variants in genomic data.
AuthorTianGzlab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the detection and classification of structural variants (SVs) like deletions, duplications, inversions, and translocations, which are often missed by standard variant callers.
Core Features & Use Cases
- Comprehensive SV Calling: Integrates multiple specialized tools (Manta, Lumpy, Delly, Sniffles) for robust SV detection.
- Variant Classification: Categorizes SVs by type (DEL, DUP, INV, TRA) and size (small, medium, large).
- Use Case: Analyze whole-genome sequencing data to identify large deletions or translocations that may be associated with genetic disorders or cancer.
Quick Start
Run structural variant detection on the provided BAM file 'sample.bam' and save the results to the 'sv_output' directory.
Dependency Matrix
Required Modules
numpypandas
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: genomics-sv-detection Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#genomics-sv-detection Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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