fusion-gene-detector

Solid

Gene fusion detection skill for oncology applications with multiple caller integration

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill 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)

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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