Our Technology

The stack behind
every answer

Reproducible. Scalable. Cloud-native. AI-assisted. Deployable on any cloud platform. The BiOmicAge technology platform combines 50+ best-in-class bioinformatics tools with GPU-accelerated compute and enterprise-grade security — all on a single, customisable pipeline platform.

What Sets Us Apart

Six pillars of our platform

01
Fully Reproducible
Every run ships with version-locked conda environments, exact shell commands, and SHA-256 checksums on all inputs and outputs. Reviewers can reproduce results in under 30 seconds.
02
Cloud-Native & Scalable
Pipelines designed to run on Azure, AWS, or GCP. Containerised with Docker and Singularity. Scale from a single sample to population cohorts without changing a single line of code.
03
AI-Assisted
AI-driven QC, anomaly detection, and biological interpretation layer accelerates every stage of analysis — from automated flagging of outlier samples to AI-assisted report generation.
04
GPU-Accelerated
NVIDIA Parabricks powers our WGS pipeline with GPU acceleration — completing full genome analysis in under 5 hours, versus 30+ hours on conventional CPU-based approaches.
05
Highest Security
Data is handled in encrypted, access-controlled cloud environments with no unnecessary data movement. We follow best practices for genomic data privacy and security at every step.
06
Fully Customisable
Every pipeline parameter is configurable. Swap tools, adjust thresholds, add custom steps. Our platform supports bespoke pipeline design for any omics question or data type.
Pipeline Architecture

End-to-end omics pipeline

A generalised view of how data flows through the BiOmicAge platform — from raw files to publication-ready outputs.

Data Intake
Secure transfer
FastQC / MultiQC
Format validation
QC Report
Processing
Alignment / mapping
Trimming & filtering
Deduplication
Processed files
Analysis
Domain-specific tools
Statistical modelling
Clustering / DE
Results tables
Visualisation
Pub-quality figures
UMAP / volcano
Pathway maps
PNG / SVG
Delivery
Full report (PDF/MD)
Reproducibility bundle
SHA-256 checksums
Reproducible
GPU Acceleration
NVIDIA Parabricks — WGS in under 5 hours
Our WGS pipeline is powered by NVIDIA Parabricks, a GPU-accelerated genomics toolkit that replicates GATK Best Practices workflows with dramatically faster runtimes. What takes 30–50 hours on CPU-based pipelines completes in under 5 hours — without compromising accuracy or reproducibility. Ideal for clinical genomics, large cohorts, and time-sensitive projects.
< 5 hours
Full WGS run (30× coverage)
GATK-equivalent
Clinically validated accuracy
Any cloud
Azure, AWS, GCP GPU instances
Reproducible
Version-locked, checksummed outputs
Tool Stack

50+ best-in-class bioinformatics tools

Every tool in our stack is peer-reviewed, actively maintained, and selected for the specific biological question it answers.

Core Languages & Workflow Managers
4 tools
Python 3.10+R 4.3+NextflowSnakemake
Cloud & Containerisation
4 tools
AzureAWSDockerSingularity
Genomics & Variant Calling
5 tools
NVIDIA ParabricksGATK 4.4bcftoolsVEP 110PharmCAT
Proteomics
4 tools
MaxQuantDIA-NNlimmaPerseus
Metabolomics & Lipidomics
5 tools
XCMSMZmine 3MetaboAnalystLipidSearchLipidR
Transcriptomics & Statistics
5 tools
DESeq2edgeRlimmasalmonSTAR
Single-Cell & Spatial
5 tools
ScanpySeurat 5SquidpyRCTDCellChat
Metagenomics & Microbiome
4 tools
MetaPhlAn 4Kraken2DADA2MaAsLin2
Multi-Omics Integration
3 tools
MOFA+DIABLOmixOmics
Epigenomics
4 tools
MACS3deepToolsDiffBindChromVAR
Deployment

Deploy on any infrastructure

Our pipelines are cloud-agnostic and containerised — deploy anywhere.

Microsoft Azure
Native integration with Azure Batch, Azure Container Registry, and Azure Blob Storage.
Amazon AWS
AWS Batch, S3, and EC2 GPU instances (p4d/p3) for Parabricks-accelerated workloads.
Docker / Singularity
Every tool containerised for reproducible, portable deployment across any environment.
HPC / On-Premise
SLURM-compatible Nextflow pipelines work equally well on institutional HPC clusters.
Get Started

Ready to run your data through our platform?

Tell us about your dataset and we'll scope the right pipeline for you.

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