Babysitter fusion-gene-detector
Gene fusion detection skill for oncology applications with multiple caller integration
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/bioinformatics/skills/fusion-gene-detector" ~/.claude/skills/a5c-ai-babysitter-fusion-gene-detector && rm -rf "$T"
manifest:
library/specializations/domains/science/bioinformatics/skills/fusion-gene-detector/SKILL.mdsource content
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)