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info@23rdpairlab.com +44 7920 423953

23rd Pair Lab Limited

Genomics · Metagenomics · Bioinformatics

WE READ ALL 23 PAIRS

Sequencing produces data. We turn that data into a result a research team or a clinician can act on — analysed, interpreted and reported by people who will explain how they got there.

Illustrative XY human karyotype — 22 autosomal pairs plus the sex chromosomes

What we offer

Services and software

Two ways of working with us, depending on whether you want the analysis done for you or want to run it yourself.

We do the work

Services

Send us samples or data and we run the analysis: NGS and bioinformatics, clinical and diagnostic testing, and R&D consulting. You get a report, the underlying files, and a named analyst to ask.

What we can run

You run the tools

Software

23rdExon, CAN and MetaXplore — analysis tools we built and use ourselves, licensed for your own team to run on your own data.

See the tools

How we think about it

A result you cannot check is not a result.

Every analysis we deliver comes with the pipeline version, the reference build, the quality metrics and the filtering logic that produced it. If a reviewer, a regulator or a sceptical colleague asks how a variant call was made, the answer is in the report, not in someone's memory.

  • Pipeline version and reference build recorded on every run
  • Quality metrics reported before conclusions, not after
  • Raw and intermediate files handed over, not withheld
  • A named analyst you can email with a question

How a project runs

Five stages, in this order

The numbering here is real: each stage depends on the one before it, and we will tell you if a sample or a dataset fails at any of them.

  1. Scope the question

    What are you trying to find out, what will you do with the answer, and is sequencing the right way to get it? Sometimes it isn't, and we say so.

  2. Sample or data intake

    Samples or existing FASTQ/BAM files arrive, get logged against your project, and are checked for the things that quietly ruin an analysis later.

  3. Quality control

    Coverage, duplication, contamination, sex checks, batch effects. You see the QC before we go further, so a weak dataset never becomes a confident claim.

  4. Analysis and interpretation

    Alignment, calling and annotation against the pipeline agreed at scoping, then human interpretation against the current literature and databases.

  5. Report and handover

    A written report, the underlying files, and a call to walk through both. Follow-up questions after delivery are part of the job, not an extra.

Tell us what you are trying to find out.

Send the question rather than the specification. If we are not the right lab for it, we would rather say that early and point you somewhere better.