RAPTOR
RAPTOR intelligently recommends and benchmarks RNA-seq pipelines by analyzing 20+ data characteristics (biological variation, depth, zero-inflation, sample size). Multi-criteria scoring provides personalized pipeline recommendations from eight production-ready workflows (STAR-RSEM-DESeq2, Salmon-edgeR, Kallisto-Sleuth, etc.) in 30 seconds with clear reasoning. Comprehensive benchmarking quantifies accuracy, efficiency, and reproducibility metrics across all pipelines on user data with customizable priority modes.
Topics
Details
- License:
- MIT
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python, R, Shell
- Added:
- 11/14/2025
- Last Updated:
- 12/10/2025
Operations
Data Inputs & Outputs
Gene expression profiling
Comparison
Documentation
Citation instructions', 'Code of conduct', 'Command-line options', 'FAQ', 'General', 'Installation instructions', 'Quick start guide', 'Release notes', 'Terms of use', 'Training material', 'User manual
https://github.com/AyehBlk/RAPTORDownloads
- Source codeVersion: v2.1.0https://github.com/AyehBlk/RAPTOR
Links
Repository
https://github.com/AyehBlk/RAPTOR