OMICSDESKbioinformatics, delivered

You have the data.
We turn it into figures you can submit.

Analysis-only bioinformatics for single-cell, spatial and bulk transcriptomics. No sequencing contract, no minimum order — send a count matrix or an accession number and get back publication-ready results, the code that produced them, and a methods paragraph. Fixed price agreed before we start.

Two complete sample deliverables, both run on public data and fully reproducible: single-cell (2,638 cells, 6 annotated populations) · spatial (4,025 Visium spots, 10 spatial domains) · bulk RNA-seq (DESeq2, 2,414 genes up, with a biological check that passes).

What we do

Single-cell RNA-seq

QC, integration, clustering, annotation, differential expression, trajectory, cell–cell communication. 10x, BD, Parse, Singleron, plate-based.

Spatial transcriptomics

Visium / Visium HD, Xenium, Stereo-seq, MERFISH: spatially variable genes, deconvolution, niche analysis, tissue overlays.

Bulk RNA-seq & more

DEG, GO/KEGG/GSEA, WGCNA, survival association; ATAC, CUT&Tag and multi-omics integration on request.

Reviewer rescue

Got a "please re-analyse" from reviewers? We reproduce, correct and extend an existing analysis, with a written response to each comment.

Reproducible handover

Every project ships containerised code and parameters. Your students can re-run it after we are gone — that is the point.

Confidential by default

NDA on request, data deleted after delivery, nothing published or reused. Unpublished data stays unpublished.

Guides

Practical write-ups from the same people who would do your analysis — read them before you decide anything.

The reviewer asked you to re-analyse your single-cell data. Now what?

A practical triage for the five re-analysis requests reviewers actually make, what each one really costs you in time, and how to answer without redoing the whole project.

What does single-cell RNA-seq data analysis actually cost?

Honest price ranges for scRNA-seq analysis in 2026 — in-house, core facility, freelancer and service provider — and where the hidden costs are.

scRNA-seq QC thresholds: what to actually use, and how to defend them

Why fixed cut-offs like "<5% mitochondrial" fail on some tissues, how to set data-driven thresholds, and what to report so reviewers stop asking.

→ All guides

Pricing

Indicative ranges in USD. You get a fixed written quote before any work starts — no hourly billing, no surprises.

Single-cell RNA-seq — standard analysis

$380–650
per sample · indicative

QC, filtering, normalisation, HVG, PCA/UMAP, clustering, marker genes, automated + manual cell-type annotation, publication-ready figures, methods text.

Single-cell — advanced modules

$900–3200
per project · indicative

Integration/batch correction across samples, differential abundance, pseudotime/trajectory, cell–cell communication, gene-set/pathway scoring, doublet and ambient-RNA handling.

Spatial transcriptomics analysis

$550–1400
per slide/section · indicative

Spot/cell QC, clustering, spatially variable genes, deconvolution against a reference, niche/neighbourhood analysis, overlay figures.

Bulk RNA-seq / DEG analysis

$300–900
per project · indicative

Alignment or count-matrix intake, QC, normalisation, differential expression, GO/KEGG/GSEA enrichment, volcano/heatmap figures, results tables.

Second-opinion re-analysis / reviewer response

$450–1800
per project · indicative

Independent re-run of an existing dataset, reproduction of published figures, targeted answers to reviewer comments, revised figures.

Custom pipeline / multi-omics integration

$1500–12000
quoted · indicative

Bespoke workflows, multi-omics integration, reproducible Nextflow/Snakemake delivery, containerised handover so your team can re-run everything.

Get a fixed quote

Tell us what you have. You get a scoped fixed price and a delivery date, normally within one working day.

Received — thank you.

We will come back with a fixed scope, price and delivery date, normally within one working day.