Omics, Predictive Modelling & Precision Health Support
What we do
We support translational teams, biotech and pharma groups, clinicians, academic researchers, PIs, postdocs and med-tech companies with expert bioinformatics and omics analytics and knowledge translation at every stage of a project, including:
- Translational & Precision Health Support
- Omics Data & Custom Pipelines
- Predictive Modelling and advanced analyses
- Study Design, QC & Reproducibility
1.Translational & Precision Health Support
We help translational teams and clinicians turn omics, clinical and digital data into clear, actionable outputs for decision support.
Typical projects
- Biomarker and gene-signature discovery for diagnostics or prognosis
- Pharmacogenomics and drug-gene interaction panels
- Cohorts with clinical, omics and microbiome data
- Integration of wearables or app data with laboratory and omics markers
Practical outputs
- Validated biomarker and gene-signature panels
- Risk stratification tools (scores and cut-offs) including polygenic risk scores
- PGx-focused reports and panel recommendations
- Microbiome–host models for response or flare risk
- Simple dashboards and summary views for non-bioinformatic stakeholders
- Documentation suitable for regulatory, ethics, or clinical teams
2.Omics Data & Custom Pipelines
We design and run analysis pipelines tailored to your study design, organism, and questions.
From raw FASTQ to clean, analysis-ready datasets, we take care of alignment, quantification, QC, and documentation.
Typical projects
- Transcriptomics: bulk & single-cell RNA-seq, time-course datasets, spatial transcriptomics
- Epigenomics: CUT&Tag / CUT&RUN, ChIP-seq
- Metagenomics / microbiome: taxonomic profiling, functional profiling
- Multi-omics integration: combining genomics, transcriptomics, epigenetics, and phenotype data
- WGS / WES: variant calling and annotation pipelines
Practical outputs
- Differential expression & contrast design
- Clustering, UMAP and other embeddings
- Trajectory / pseudotime and RNA velocity (where supported)
- Cell–cell communication (ligand–receptor analyses)
- Spatial analysis (neighbourhoods, spatial DE, deconvolution)
- Peak calling & annotation, motif discovery, regulatory networks
- Multi-omics integration (e.g. RNA + ATAC + variants)
3. Predictive Modelling and advanced analysis
We go beyond basic gene lists to deliver predictive models that answer concrete biological / clinical questions.
What we offer
- Drug response prediction (multi-omics + single-cell where available)
- Immunotherapy response and toxicity models
- Multi-omics risk, progression and stratification models
- Microbiome–host predictive modelling
- Polygenic risk score (PRS) models
We help you choose the right methods and interpret the results in the context of your system.