The infrastructure behind our pipeline, available to yours.
Commissioned bioinformatics and target analysis for academic labs, advocacy groups, and small biotechs.
01
Bioinformatics Analysis
GWAS interpretation, variant annotation, pathway enrichment, differential expression, single-cell analysis.
You receive: annotated results, figures, and a written interpretation
02
Target Identification
Evidence-graded gene ranking for your disease. Integrates GWAS, protein interaction data, single-cell expression, and prior literature into a prioritised candidate list with mechanistic rationale.
You receive: ranked gene list with evidence grades, per-gene rationale, source citations, and network visualisation
03
Data Interpretation
You have data but need interpretive analysis. We produce reports from existing analyses or raw outputs.
You receive: interpretive report with figures, limitations, and next-step recommendations
04
Literature & Evidence Review
Systematic synthesis for a specific gene, pathway, or therapeutic hypothesis. Graded, sourced, and decision-ready.
You receive: structured synthesis document, graded by evidence strength, with bibliography
05
Custom Tools & Pipelines
Bespoke bioinformatics workflows built to spec. Delivered as reproducible code with documentation.
Your project doesn't fit one of these? Describe it anyway. Most real work crosses categories, and we scope it individually.
01 Brief
Describe what you need, what data you have, and what question you are trying to answer. We respond within two business days.
02 Scope
We assess feasibility, define the analytical approach, and return a flat-rate quote. NDA available before any data transfer.
03 Run
We run the analysis, iterating with you as findings emerge.
04 Deliver
Written report, processed data, and reproducible code where applicable. Walkthrough call available on request.
Our services use the same computational infrastructure behind ViroDyn's lead Crohn's disease programme. Led by Alexander Humphries (MSc Genetics, Sussex; first author of the published disease model) with advisory input from four professors across genetics, oncology, gene therapy, and bioinformatics.