Bioinformatics
Building reproducible pipelines, algorithms and analysis workflows that turn raw data into trustworthy results — at any scale.
What this area is.
Bioinformatics is the engineering backbone of the ecosystem. We design portable, reproducible workflows (Nextflow / Snakemake) that run identically on a laptop, an HPC cluster or the cloud, with QC baked in at every step.
Beyond running tools, we benchmark and build methods — choosing the right aligner, quantifier or statistical model for the question, and documenting every parameter so results can be reproduced and trusted.
Tools & technologies
What we do.
Core methods we apply in bioinformatics.
Reproducible pipelines
Nextflow / Snakemake workflows, containerised and version-pinned.
Quality control
FastQC and MultiQC across cohorts, with automated gating.
Alignment & quantification
Short- and long-read alignment, expression quantification, count matrices.
Differential analysis
Robust statistics for differential expression and abundance.
Scalability
Seamless scaling from laptop to HPC/cloud with the same code.
Method benchmarking
Objective comparison of tools against truth sets and metrics.
From data to insight.
How a bioinformatics project flows end to end.
Raw data
FASTQ / BAM in
QC
FastQC · MultiQC
Process
align · quantify
Model
stats / ML
Visualise
figures & reports
Reproduce
containers · provenance
Publication-grade figures.
Interactive, live-rendered visualisations used in bioinformatics.
Where we go deep.
Workflow engineering
Portable, auditable pipelines that others can rerun exactly.
AMR sequencing
Whole-genome bacterial pipelines (Illumina & Nanopore) for resistance profiling.
Method development
New algorithms where existing tools fall short.
Questions we answer.
A few of the things people ask about bioinformatics — and our short answers. Ask CGB-AI for more.
What makes analysis reproducible?
Pinned tool versions, containers, captured parameters and a workflow engine — so the same inputs always yield the same outputs.
Can you scale to large cohorts?
Yes — the same workflow runs across HPC and cloud with parallelisation, so cohort size is a scheduling problem, not a rewrite.
Publications in Bioinformatics.
Drawn from our full record of 173 papers, filtered to this area.
Start a bioinformatics project.
Tell us the biological question and the data you have — we will map out an approach.