Multi-Omics Analytics
Genomic, transcriptomic, proteomic, and metabolomic data — integrated, harmonised, and translated into biology.
What this service is
Analytics that are scientifically rigorous and computationally reproducible — designed to survive peer review, regulator scrutiny, or partner due diligence. Batch effects, sparsity, and cross-modality integration are handled with senior bioinformatics judgement.When you need it
Multi-Omics Data Analysis
Generated multi-omics data and need expert analysis.
Data Integration & Harmonisation
Integrating across modalities and need a harmonisation strategy that controls batch effects.
Publication-Ready Analytics
Publishing a multi-omics paper and need defensible methods and figures.
Biomarker & Target Discovery
Identifying biomarkers, drug targets, or disease subtypes from omics data.
Reproducible Pipelines
Need a reproducible, version-controlled pipeline you can hand to your team or regulator.
Our methodology
Data audit (QC, sample-level QC, batch-effect assessment).
Pre-processing and harmonisation (normalisation, batch correction, missing-data handling).
Differential analysis (DESeq2, edgeR, limma; proteomics/metabolomics tooling).
Multi-omics integration (MOFA, DIABLO, or custom approaches).
Functional analysis (pathway enrichment, upstream regulator, network analysis).
Biological interpretation tying statistics to disease biology.
Reproducibility package (version-controlled code, containerised environment, data dictionary).
Deliverables
Standards & tooling
Outputs are designed for journal submission and peer-review readiness (publication is not guaranteed).
Ready to move your manuscript forward?
Let's discuss your project timeline, journal strategy, and how our PhD-level writers can help.
Request a consultation
Tell us about your project and we'll reach out within 24 hours.
Ready to advance your research?
From hypothesis to peer-review — let's scope a tailored plan for your lab.
NDA protected · You own 100% of deliverables · Milestone-based