AyehBlk/RAPTOR
RNA-seq Analysis Pipeline Testing and Optimization Resource - Intelligent pipeline selection and comprehensive benchmarking.
RAPTOR helps life scientists and bioinformaticians streamline RNA-seq data analysis. It takes raw RNA-seq data or count matrices, optionally integrates public datasets, and guides users through quality control, differential expression, and threshold optimization. The output is a robust list of differentially expressed genes and potential biomarker candidates, designed for researchers focused on biological insights rather than complex pipeline setup.
Use this if you need to analyze RNA-seq data, want guided pipeline selection and parameter optimization, and prefer working with a visual dashboard rather than writing code.
Not ideal if your research involves data types other than RNA-seq or if you require full programmatic control and customization of every analysis step in a coding environment.
Stars
13
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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