THRAISE v2

Transcriptome-wide, High-throughput RNA-seq Analysis Integrated System for Expression

Automated RNA-seq analysis from GEO/SRA data. No coding required.

Please Cite Us!

THRAISE is maintained with personal funding. We hope you get great results. For inquiries, please use the Community section below.

Heo HH, Um SJ. THRAISE: An automated and reproducible web platform for RNA-seq analysis. Mol Cells. 2025;48(12):100299. doi:10.1016/j.mocell.2025.100299

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Start New Analysis

Enter your BioProject or sample accession ID to begin

Processing your request... Large projects may take up to 5 minutes.

3-30 characters. Letters, numbers, underscore, dash only.

e.g., PRJNA1280180, SRX29275969, GSM9059479, GSE300390

Search NCBI GEO DataSets

Opens NCBI GEO in a new tab with your search results

or check existing results

RNA-seq Learning Guide

Learn the key concepts behind RNA-seq analysis before submitting public sequencing datasets.

What is RNA-seq?
A practical overview of RNA-seq experiments and outputs.
RNA-seq experimental design
Replicates, conditions, metadata, and common design mistakes.
Differential expression analysis
Understanding counts, fold changes, p-values, and interpretation.
RNA-seq quality control
A checklist for read quality, mapping, labels, and outliers.
Volcano plots and heatmaps
How to interpret common RNA-seq visualizations.
Reference genome and annotation
Why genome build and gene annotation choices matter.

Check Analysis Results

What's New

v2.0 THRAISE v2 Released! 2025-12-23
New modern UI, unified pipeline (hg38/mm39/ce11), auto SE/PE detection, strandedness detection, and more!