OMICSDESKbioinformatics, delivered

Analysis capacity for biotech teams

Your computational people are busy with the platform, and a programme still needs its transcriptomics analysed this month. We take defined analysis work off the queue — under NDA, delivered with the code and the environment, on a date agreed in writing.

What companies ask before price

Confidentiality

NDA before any data moves. Data is deleted on your instruction after delivery, and by default within 90 days. It is never reused for benchmarking, marketing examples or model training — that clause is in writing, not just on a web page.

Reproducibility you can audit

Every deliverable ships the analysis script, the parameter set and the package versions. Anyone on your side can regenerate any figure. If a result is ever questioned, the provenance exists.

Defined scope, fixed price

Written scope, price and delivery date before work starts. Changes are re-quoted, not absorbed silently. Procurement gets a number that does not move.

Deadlines that are real

Standard projects are 5–8 working days from usable data. Priority turnaround is possible. If a sample fails QC we tell you on day one, not on delivery day.

Statistics that survive scrutiny

Comparisons are tested at the level of the experimental unit — donors, animals, batches — not per cell. What that changes, measured on public data.

No bundling

We sell analysis only. There is no sequencing contract attached, no minimum volume, and no incentive to talk you into a bigger experiment.

Typical engagements

How we start

With a pilot, usually one sample or one section, at the normal per-sample price. You see the actual deliverable and the actual turnaround before committing a programme to it. If the pilot does not convince you, that is the end of it — no retainer, no minimum.

What we do not do

No wet lab, no sequencing, no regulatory submissions, and no sign-off on your scientific conclusions. We tell you what the data supports and flag what looks fragile; the interpretation stays with your team. Being clear about this up front saves both sides a month.

→ Start with a scoped quote · see seven complete analyses on public data · process, data handling and revisions