Computational only
Work begins once your data exists—from your core facility or a public repository. We advise on study design, but we don't sequence or handle samples.
We analyse data that already exists—raw reads, matrices, structures, assay results—and turn it into results you can reproduce, explain, and publish. We don't run a wet lab, and we're not a clinical diagnostic service. Knowing exactly where our work begins and ends is the first honest thing we can tell you.
Our work spans eleven services—from variant calling and transcriptomics to multi-omics integration, pipeline engineering, and publication support—applied across six research areas including oncology, immunology, neuroscience, infectious disease, agriculture, and drug discovery.
What connects them is a method rather than a menu. Every project starts with a written scope you approve. Every analysis runs on established, peer-reviewed tools chosen for your data type. Every delivery includes methods documenting each tool and its version, because a result you can't reproduce isn't a result yet.
And where our findings are predictions, we label them as predictions. Research signatures aren't presented as clinical tests, docking scores aren't presented as guarantees, and breeding values aren't presented as field outcomes.
Being explicit about this protects your project as much as it protects us.
Work begins once your data exists—from your core facility or a public repository. We advise on study design, but we don't sequence or handle samples.
We support research and clinical research. We are not an accredited diagnostic laboratory, and clinical decisions stay with treating clinicians.
We provide analysis, figures, and methods text. Authorship follows ICMJE criteria and belongs to your team—we never ghostwrite.
More detail on how we work, who does the work, and how your data is handled.
Tell us your organism, data type, and question. If we're not the right team for it, we'll say so and point you somewhere better.