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structural-variant-detector

structural-variant-detector

Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: structural-variant-detector description: Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements allowed-tools:

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  • Glob
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  • WebFetch
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  • Bash metadata: version: "1.0" category: bioinformatics tags:
    • variant-analysis
    • structural-variants
    • cnv
    • sv graph: domains: [domain:bioinformatics] specializations: [specialization:biomedical-informatics] skillAreas: [skill-area:graph-algorithms, skill-area:statistical-analysis, skill-area:data-analysis] workflows: [workflow:experiment-design] roles: [role:research-engineer, role:biomedical-engineer]

Structural Variant Detector Skill

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)
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