Services

The Bioinformatics Core Facility provides analytical expertise and computational infrastructure for data-intensive biomedical research.

We engage at all stages of the research cycle:

Consultation and project planning

We provide structured consultation on:

  • Experimental design and technology selection
  • Analytical strategy and statistical considerations
  • Computational planning and infrastructure needs
  • Data storage, sharing and documentation

Open Bioinformatics Café

In addition to structured consultation, we host the Open Bioinformatics Café (ABC), a bi-weekly informal forum for researchers, students and staff seeking advice on computational and data-analytical challenges.

Participation is free of charge.

Programme and practical information.

Fee-for-service data analysis

We implement curated and reproducible workflows (e.g. Nextflow) on secure HPC infrastructure. 

Core analytical domains include:

Genomics and sequencing

  • Bulk RNA sequencing
  • Single-cell sequencing
  • Variant calling
  • Post-GWAS and functional genomics

Spatial and multimodal omics

  • Spatial transcriptomics
  • Multiplex and imaging-based omics
  • Integration of spatial and single-cell datasets

Data mining and predictive modelling

  • Multi-omics integration
  • Pathway and network-based analyses
  • Cross-cohort comparisons
  • Machine learning
  • Iterative hypothesis development

Analyses can be delivered through a secure web-based platform that enables interactive exploration of processed data and real-time discussion of results with collaborators.

See an example of the platform

Subscription-based bioinformatics support

For research groups with sustained analytical needs, we offer subscription-based support that embeds dedicated bioinformatics capacity within the research environment.

Minimum commitment: 3 months
Cost structure: Actual salary expenses + 11% administrative overhead

Particularly suited for:

  • Large-scale omics research
  • Single-cell, spatial or multimodal projects
  • Longitudinal or integrative studies
  • Research groups building computational capacity