Bioinformatics for small biotech and academic labs
RNA-seq, scRNA-seq, proteomics, ChIP-seq, ATAC-seq, methylation and multi-omics, run end to end by a bioinformatician who reads the biology: what the results say about your system, and where it is worth digging deeper. Reproducible and fully documented, so the conclusions are owned by a person you can email.
Running DESeq2 and drawing a volcano plot is the commodity part. The value is the read on top: we turn your raw sequencing or mass spec data into a written interpretation of what stands out for your biology and what to do next, not just a folder of figures. You send a short brief, we send back a fixed quote, and you receive a QC report, full statistical results, publication ready figures, and a branded PDF, usually within 7 to 10 business days.
Every analysis is reviewed and interpreted by a bioinformatician before delivery, and runs on a reproducible pipeline you can audit. You receive the code alongside the results, so the conclusions are owned by a person you can email. See the same report format on real case studies.
Not "upload data, get a pipeline output". We study the project first, and the biology drives every step.
Your system and its literature, framed into testable hypotheses.
Reproducible pipelines you can audit, run end to end.
What actually stands out, and what it means for your biology.
Follow-up analyses and public data, so the conclusions hold up.
What it means for your system, and what is worth testing next.
Every engagement is scoped to your biological question, run end to end, and written up as an interpretation, not a folder of figures. Fixed scope agreed up front; a quote comes back within 2 business days.
A senior read on results you already have: do the conclusions hold, and what is worth digging into next. The natural foot in the door.
Which genes and pathways actually move, and what that says about your system.
Which cell populations shift between conditions, and the programs driving them.
Which proteins move, and which signaling pathways and kinases are actually active, not just which sites change.
Where regulation moves across the genome, and which transcription factors are behind it.
Where the methylome shifts and how to read the direction correctly, or one integrated story across several omics layers.
We strengthen your proposal with real preliminary data from public sources at no cost, and write the computational arm reviewers now expect. The downstream analysis of your own data is scoped into the budget and run only if the grant is funded, paid from grant funds. No cost until it wins.
Ask about grant support
Fixed scope and turnaround agreed up front. 15% academic discount for institutional emails.
You fill a short intake form (organism, sample count, contrasts, data access). NDA signed before any data is shared. Quote and proposal back within 2 business days.
Your data is analysed and, more importantly, studied. After QC you get a check in: if the design has a problem, we surface it before downstream stats burn the clock.
Branded PDF report with a written executive summary and discussion, Excel workbook with full statistical results, figures at 300 dpi, and the pipeline code. Raw data is deleted within 30 days of delivery.
Deliverables
What stands out for your biology, what it means, and what is worth testing next — the read on top of the figures. This is the product.
HTML + summary table
TSV + Excel workbook
PNG at 300 dpi
Executive summary, methods, conclusions
Snakemake + conda, versioned
Raw data deleted within 30 days
Two case studies we ran end to end. Same PDF, Excel, and figures format every client receives. Download the full deliverables to see exactly what you would get.
How does androgen (DHT) stimulation reshape the open-chromatin landscape of prostate cancer cells, and can the driving transcription factor be identified from accessibility alone?
Read case study →
How does the cellular composition of the mouse heart change as pressure-overload heart failure develops over six weeks, and which immune populations drive late-stage remodelling?
Read case study →
I'm Alessandro De Santis, a cancer researcher by training and the CEO and co-founder of SynMiR, an Italian biotech developing synthetic miRNA therapeutics for cancer. Day to day I run multi-omics target discovery: transcriptomics, proteomics, phosphoproteomics and mutation data combined into patient-specific signaling networks.
My background is in RNA biology and the genomics of cancer, built over years of academic research and peer-reviewed publications. That is exactly what OmicsDesk does for clients: not just running the analysis, but reading what it means for the biology, the way you would for a paper. See selected publications →
OmicsDesk brings that expertise to small biotechs and academic labs that need an answer from their data without hiring a full-time bioinformatician. Every project is run, reviewed, and written up by a person you can email, so the conclusions are owned, not just generated.
Email a short brief (omics type, sample count, the biological contrast you want tested) and a fixed quote comes back within 2 business days. NDA before any data is shared.
Tell us what you measured and what you want compared — we send back a quote and a plan. You upload data after the quote is signed, not before.
We reply with a fixed quote and a short analysis plan scoped to your question. Once the scope is agreed and the kickoff invoice is paid, we send you a private link to confirm the experimental design and hand over the data. No data upload before a quote is signed.