Computational Biology Facility

What you'll receive from our facility

Support from project conception to publication or application in all areas related to data science, protein bioinformatics and software development applied to biological, biotechnological or clinical aspects
Access to cutting-edge expertise in the analysis of all types of life sciences data including the fast-moving spheres of single cell and geospatial RNAseq
Full academic supervision and a highly specialised team of technologists dedicated to the project
Support in experimental design and power calculations for your proposed studies
Project management in all projects and support with FAIR data sharing practices
Provision of high-quality publishable data visualisations and outputs
Development opportunities – with a full suite of courses to support a learning path in data analysis from beginner to expert, using examples from life sciences and clinical research.

Omics analyses with broad expertise in transcriptomics, methylation, proteomics (including PTM and cell signalling analyses) and metabolomics
Multi-omics integration
Spatial omics particularly in Nanostring GeoMx platform analyses
Single cell omics analyses
In-silico biomarker discovery applying machine learning methods
Drug repositioning
Systems biology approaches including building networks and predicting regulators
In-silico Protein structure modelling including AlphaFold2
Protein function prediction
Expertise in machine learning, the use of large language models and natural language processing
Software development and database management
R, statistics and bioinformatics teaching.

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