Start with the question
What do you need to know about your RNA?
A transcriptome is not a list of abundances. It is a population of molecules being marked, translated, degraded and rebuilt at the same time, and most of that is invisible to the assay that produced your counts. We build the measurements that make those layers legible, and we would rather start from what you are trying to find out than from what we happen to have on the shelf.
Questions we are set up to answer
Each of these came out of a problem we hit in our own experiments and could not solve with what already existed. Open one to see what comes back and what we need from you.
Your question is not on this list? Tell us what it is. The interesting ones usually are not.
Ways to work together
Ordered by how deeply we get involved, from full scientific partnership through to a single dataset. All four are real, and we are happy to start anywhere on the list.
Research programmes and consortia
Build the RNA layer of your programme with us
The questions worth funding rarely fit inside a single assay. We join programmes as scientific partners, taking responsibility for the RNA measurement and modelling layer from experimental design through to interpretation, and we write into grants as named investigators rather than as a costed service line.
- Named investigator or work package lead on national and international schemes
- Experimental design input before the money is spent, not after
- Methods development where the existing measurement does not yet exist
- Shared authorship and shared responsibility for the result
Investors and translational partners
Technology that is ready to leave the bench
Several of our methods began as answers to our own experimental problems and have since become tools other laboratories depend on. They address measurement gaps that sit directly upstream of RNA therapeutic development, where getting the readout wrong is expensive and slow to discover.
- Native-molecule modification and stability readouts with per-molecule resolution
- Correction methods that make fractionation data quantitatively trustworthy
- AI-drivable analysis infrastructure that runs on local data
- Track record of taking methods from first principles to published, adopted software
Students, postdocs and visiting researchers
Learn to build the measurement, not just run it
We train people across the whole arc: molecular biology at the bench, statistical modelling, and the software engineering that connects them. That combination is rare, portable, and considerably more durable than fluency in any single pipeline.
- Projects spanning wet-lab and computational work, by design
- Supervision across two disciplines and two continents
- Scholarship and fellowship applications supported and co-written
- Time in partner laboratories and at international meetings
Laboratories with data already in hand
Send us a dataset
If you have sequencing that needs one of the analyses above and no appetite for a longer collaboration, that is a perfectly reasonable request and we take it. Tell us the question and what you already have, and we will tell you honestly whether our methods are the right instrument or whether something simpler will do.
- Most of our software is free for academic and non-profit use, so start there
- We will say so if an existing tool answers your question better than ours
- Analysis and interpretation, not just a results folder
One honest caveat
Not every question needs a new method. If a standard pipeline will answer yours, we will say so and point you at it, because a collaboration that starts with an oversold measurement does not end well for either side. Where the measurement genuinely does not exist yet: that is the part we find interesting.