fusion-gene-detector
Gene fusion detection skill for oncology applications with multiple caller integration
Best use case
fusion-gene-detector is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Gene fusion detection skill for oncology applications with multiple caller integration
Teams using fusion-gene-detector should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/fusion-gene-detector/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How fusion-gene-detector Compares
| Feature / Agent | fusion-gene-detector | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Gene fusion detection skill for oncology applications with multiple caller integration
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Fusion Gene Detector Skill ## 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)
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