Fusion Gene Detector Skill

SkillDev tools

Gene fusion detection skill for oncology applications with multiple caller integration

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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 Fusion Gene Detector 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/fusion-gene-detector/SKILL.md and read by ahel’s review.

Purpose

Enable gene fusion detection for oncology applications with multiple caller integration.

Capabilities

  • RNA-based fusion calling
  • DNA-based fusion detection
  • Multi-caller consensus
  • Visualization of fusion events
  • Known fusion annotation
  • Clinical actionability assessment

Usage Guidelines

  • Use multiple callers for sensitivity
  • Build consensus from different algorithms
  • Annotate with known fusion databases
  • Visualize fusion breakpoints
  • Assess clinical actionability
  • Document caller combinations

Dependencies

  • STAR-Fusion
  • Arriba
  • FusionCatcher

Process Integration

  • Tumor Molecular Profiling (tumor-molecular-profiling)
  • RNA-seq Differential Expression Analysis (rnaseq-differential-expression)

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
fusion-gene-detector
Source
github.com/a5c-ai/babysitter