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RNA-seq and single-cell RNA-seq analysis

Bulk and single-cell RNA-seq data analysed end to end, from raw reads or count tables to validated results, publication-ready figures and code you can rerun.

Who it's for

What you receive

Bulk RNA-seq, from raw reads to results

You receive: Read quality reports, quantification, normalisation, differential expression with proper multiple-testing correction, pathway analysis, and volcano plots, heatmaps and PCA figures.

Single-cell RNA-seq analysis

You receive: Quality control and doublet removal, batch integration, clustering, cell-type annotation, marker genes, differential expression between conditions and cell-proportion comparisons, with UMAPs, dot plots and heatmaps.

Data we accept

FASTQ files, count matrices, 10x Genomics outputs (filtered matrices or .h5), and sample metadata in Excel or CSV. We work with anonymised data only, and a confidentiality agreement can be signed before you share anything.

How a project runs

Analysis, figures and tables only; manuscript writing is not included.

Questions

Can you start from FASTQ files?
Yes. We run quality control and quantification first, so problems in the data are found before they reach your results. If you already have a count table, we start from there.
Do you include pathway analysis?
Yes. Gene ontology, KEGG, Reactome and GSEA results are included where they answer your study question, as tables and figures.
Will I get the code?
Yes. Every project includes a documented notebook or script and a technical summary of each step and parameter, so you or a reviewer can rerun everything.

Tell us about your project

Share your study and the data you have. You'll receive an analysis plan and a fixed quote before any work starts.

Request a quote

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