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🧬 What You Get

Send us your RNA-seq FASTQ files or count matrices and we'll deliver a complete differential expression analysis. Get volcano plots, heatmaps, PCA plots, and pathway enrichmentβ€”all in a cohesive report that tells the story of your data.

We handle the entire pipeline from alignment through biological interpretation, so you can focus on the science instead of debugging R scripts.

Ideal For

Differential expression studies, pathway discovery, treatment response analysis, and understanding transcriptional changes in your experimental system.

⚑ How It Works

1

Upload

FASTQ or counts

2

Align & QC

Quality metrics

3

Analyze

DE & pathways

4

Deliver

Report & figures

πŸ”¬ Analysis Includes

βœ“ Read alignment & quantification
βœ“ Data normalization (DESeq2/edgeR)
βœ“ Differential expression testing
βœ“ Multiple testing correction
βœ“ GO enrichment analysis
βœ“ KEGG pathway analysis
βœ“ Hierarchical clustering
βœ“ PCA & sample QC

πŸ“¦ What You'll Receive

πŸŒ‹

Volcano Plots

Significant genes highlighted

πŸ”₯

Expression Heatmaps

Top DE genes clustered

πŸ“Š

PCA Plots

Sample relationships visualized

πŸ›€οΈ

Pathway Figures

GO & KEGG enrichment

πŸ“‹

Gene Lists

Full DE results (Excel/CSV)

πŸ“

Written Report

2-3 page interpretation

🎯 Common Use Cases

Drug treatment response Knockout vs wildtype Disease vs healthy Time course experiments Cell type comparisons Developmental stages Stress response siRNA knockdown