Why multi-omics
Strong biology rarely sits in one data type.
Genomics can show what might change, transcriptomics what is being expressed, and proteomics and metabolomics how that plays out in the cell. Looking at these layers together shows where they agree and where each adds new information. That helps you move from separate results to one clear biological interpretation.
Who this is for
Built for teams with complex biological questions.
Research teams
With omics data to analyse, or a question that needs more than one data type.
Biotechnology companies
That need molecular evidence to support their research.
Healthcare and translational teams
Connecting molecular data with clinical questions.
Questions we help you answer
From data to a clear biological answer.
01
Choosing the layers
Which molecular layers does my question need, and how should each be processed?
02
Comparing the layers
Do the layers agree, and where do they add new information?
03
Integrating the data
Which molecular subgroups or pathways emerge when the data is integrated?
04
Presenting the result
How can the results be presented so they are clear and reproducible?
What we analyse
Every molecular layer, on its own and together.
Genomics and variant analysis
Mutation landscapes, variant annotation, copy-number alterations and mutational signatures.
Bulk RNA-seq
Quality control, expression quantification, differential expression and interpretation.
Single-cell and spatial transcriptomics
Cell populations, expression patterns and tissue context.
Proteomics and phosphoproteomics
Protein abundance, phosphorylation and signalling analysis.
Metabolomics and lipidomics
Metabolic profiles, lipid composition and differential abundance.
Multi-omics integration
Shared patterns, molecular subgroups and cross-omics associations.
Pathway and network analysis
Enrichment, biological pathways and molecular relationships.
Public dataset research
Investigate your question using existing research datasets.
How we work
From your question to a clear next step.
01
Discuss
Your question and objectives
02
Define
Data, scope and deliverables
03
Deliver
Analysis and interpretation
04
Review
Findings and next steps
What you receive
Clear results you can check and use.
Analysis outputs
Results tables and scientific figures.
Interpretation
Findings, evidence and limitations, stated clearly.
Documentation
Agreed methods and technical outputs, from documented and versioned pipelines.
Sample project
See how a project comes together.
Click through our sample dashboard to see how a multi-omics project comes together, then follow a project through its four delivery phases, from first call to final report. Both use illustrative sample data, with no client information.
See the sample dashboard
Frequently asked questions
Common questions about multi-omics analysis.
What is multi-omics analysis?
It is the study of more than one molecular layer, such as DNA, RNA, proteins and metabolites, for the same biological question. The layers are analysed individually, then integrated to give a fuller picture.
What do I need to start a project?
Bring your research objectives, available data, current challenges and intended outcomes. We help define the rest with you.
Do you only work with multi-omics projects?
No. We also analyse single data types, such as bulk RNA-seq or proteomics, where that suits your question.
Can you combine analysis with scientific advice?
Yes. Bioinformatics and consultancy can be combined in one agreed project scope.
How do I share data?
Please start with a short description through the enquiry form, and do not send patient-identifiable or confidential data at this stage.
How much does a project cost and how long does it take?
Cost and timing depend on the data and scope, so we confirm them once the project is defined.
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