Single-cell RNA-seq analysis service

You have the matrices. We take them to figures you can submit — with the checks that decide whether those figures survive review.

What is included

• Empty droplets, ambient RNA and doublets handled explicitly, with the rates reported per sample.
• Clustering at two resolutions, so we can tell a real population from a parameter.
• Cell types assigned from markers and verified by a reference classifier run blind — disagreements get a broader label, not a confident guess.
• Differential expression aggregated to subject level (pseudobulk + DESeq2), because your n is the number of donors, not the number of cells.
• Optional modules: integration across batches, trajectory, cell–cell communication, gene-set scoring.

See it done

Before you commit

Run the free QC report on your own data — no sign-up, and your file is deleted once the report is built — typically within a couple of minutes. Or build a plan to see whether your design supports the comparison you have in mind; it will tell you when it does not.

Related reading

• scRNA-seq QC thresholds: what to actually use, and how to defend them
• Cell type annotation: manual markers, automated references, or both?
• Pseudobulk or per-cell? The differential expression choice that decides whether your paper survives
• Doublets and ambient RNA: the two artefacts that invent cell types

→ Get a fixed quote · all sample deliverables