AyehBlk/RAPTOR

RNA-seq Analysis Pipeline Testing and Optimization Resource - Intelligent pipeline selection and comprehensive benchmarking.

28
/ 100
Experimental

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.

RNA-seq analysis bioinformatics genomics research biomarker discovery differential expression
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 13 / 25
Community 0 / 25

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Stars

13

Forks

Language

Python

License

MIT

Category

dna-sequence-ml

Last pushed

Mar 12, 2026

Commits (30d)

0

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