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RESEARCH & BIOINFORMATICS SOLUTIONS

Bioinformatics & Multi-Omics Analysis

Connect complex biological data with the question behind your research. We support computational analysis across genomics, transcriptomics, proteomics and metabolomics, alongside structural bioinformatics and integrated omics projects. From an individual analysis to a broader workflow, we help researchers plan the work, examine their data and communicate the resulting biological insights.

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Evidence synthesis · Biological data · Scientific communication

Purple scientific illustration with molecular structures, DNA and research data

Where we can help

Analysis across biological data types

Genomics and variant analysis

Whole genome and whole exome sequencing analysis
Genome-wide association studies
SNP and indel calling and annotation
Copy number variation analysis
Structural variant detection
Pharmacogenomics analysis
Mitochondrial genome analysis
Epigenomics: methylation, ATAC-seq and ChIP-seq

Transcriptomics

Bulk RNA-seq and differential expression analysis
Single-cell RNA-seq
Long-read RNA sequencing: PacBio and Oxford Nanopore
Alternative splicing analysis
miRNA, lncRNA and circRNA analysis
Spatial transcriptomics
Gene Ontology and KEGG pathway enrichment

Proteomics and metabolomics

Mass spectrometry data analysis
Protein quantification: label-free, TMT and SILAC
Post-translational modification analysis
Metabolomics profiling: LC-MS and GC-MS
Lipidome analysis
Flux balance analysis

Structural bioinformatics and molecular modeling

Protein structure prediction with AlphaFold2 and RoseTTAFold
Molecular docking with AutoDock and Glide
Molecular dynamics with GROMACS and AMBER
Virtual screening and drug repurposing
ADMET property prediction
Homology modeling
Binding free energy calculations: MM-PBSA and MM-GBSA

Systems biology and multi-omics integration

Integration of genomic, proteomic and metabolomic data
Protein–protein interaction networks
Gene regulatory network inference
Biomarker discovery and validation analysis
Disease module analysis
Weighted gene co-expression network analysis

How we work

A clear process, shaped around your project

01

Define the goal

We discuss your question, current progress and the support you need.

02

Agree the approach

We align on the scope, methods and deliverables before the work begins.

03

Carry out the work

Our specialists develop the agreed analysis or outputs and keep you informed.

04

Review and hand over

We walk through the findings, provide the agreed files and discuss next steps.

Before we begin

A few questions, answered

Can you help with a specific analysis or data type?

Yes. Our listed scope covers individual analyses and broader omics workflows. Share the data type, research question and work already completed so we can agree which analyses belong in your project.

Can biological interpretation be included?

We can discuss biological interpretation alongside the analysis and reporting scope. The useful starting point is the question you want the data to address and the comparisons that matter to your study.

What information is useful before starting?

Tell us about the organism or study system, available data and metadata, your current workflow and the intended output. We will discuss the inputs and deliverables before the work begins.

Start a conversation

Let’s define your next step

Tell us what you want to achieve and where you need support. We’ll discuss a practical scope for your project.

Discuss your dataset