Bioinformatics
The Bioinformatics group collaborates with researchers to facilitate biological data processing and analysis
What we can offer
We go from providing advice and supervision through to performing full analyses and preparing materials for manuscripts. We can advise on experimental design and sequencing strategies to give you the best chance of generating good data.
Areas in which we currently work:
- High throughput sequencing data processing using open source and bespoke Nextflow pipelines
- Downstream analysis and interpretation of high throughput sequencing experiments including:
- Gene expression: Bulk and single-cell RNA-seq
- Chromatin accessibility: Bulk and single-cell ATAC-seq
- Chromatin association: ChIP-seq, CUT&RUN, CUT&TAG, DamID
- Methylation: EM-seq
- Variant calling
- Genome structure: Hi-C
- DNA/protein sequence analysis
Software, analysis pipelines and training materials we have developed can be found on our GitHub pages.
If there is a project you would like to discuss, please use the form below:
Our team of bioinformatics specialists
Adam Reid PhD: Head of Bioinformatics
Adam studied Genetics at the University of Sheffield, completed a master’s in Bioinformatics at the University of York and a PhD at University College London with Professor Christine Orengo. His thesis explored the evolution and function of protein domain families. He then spent a productive 12 years as postdoc and staff scientist in the Parasite Genomics group at the Wellcome Sanger Institute with Dr Matthew Berriman, studying the evolution and function of parasite genomes. During this time he generated and analysed genome sequences for a wide range of species, identified the role of pir genes in establishing chronic infections in malaria parasites and published the first single-cell RNA-seq dataset for these parasites.
Adam leads the bioinformatics group at the Gurdon Institute, working closely with research groups to plan experiments, process data and develop new insights into developmental biology through biological data analysis.
