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RNA-seq Analysis

Turn RNA sequencing data into interpretable results for your research question. We scope the analysis around the files you already have, the study design and the comparisons that matter.

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Where we can help

Start from raw reads

For bulk RNA-seq, we can discuss read quality checks, alignment or quantification and generation of a count matrix.

Start from a count matrix

Review the matrix and sample metadata, then agree the comparisons and statistical model. This scope uses the upstream processing you already have.

Explore single-cell data

Describe the platform, number of samples and files available so we can assess the appropriate scope for your single-cell project.

What we need from you

  • Organism, sequencing platform and sample count
  • Sample groups, replicates, batches and comparisons of interest
  • Available file types and any previous quality checks or analysis

What you receive

  • Quality summary and a count matrix when generation is in scope
  • Differential expression tables and agreed visualizations
  • Pathway summaries where appropriate, plus methods and agreed reproducibility files

Discuss your project

We agree a secure transfer method before receiving sensitive or large datasets. Please start with a dataset summary and your research question.

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Related service: Bioinformatics & Multi-Omics Analysis