Bioinformatics & Statistical Genetics
Our bioinformaticians are highly experienced in handling and analysing next-generation sequencing data and support researchers across a wide range of disciplines both within Oxford and beyond.
Past and present members of the Bioinformatics team have played key roles in high profile initiatives including WGS500, the 1000 Genomes Project, the HapMap Project, and most recently the first sequencing of human genomes using Oxford Nanopore's MinION™ device.
The Bioinformatics team maintains and runs computational pipelines for processing raw sequence data and data quality checks for all data generated within the Oxford Genomics Centre, as well as performing high quality analyses for the following applications:
- Genomics (whole-genome, exome and targeted sequencing)
- Transcriptomics (RNA-Seq, miRNA-Seq, microarrays)
- Epigenetics (ChIP-Seq, ATAC-Seq, methylation)
- Single cell genomics (Fluidigm® C1™, FACS, 10X Genomics™)
What does Bioinformatics support include?
- Advice on experimental design
- Processing and analysis pipelines for NGS data (Illumina and ONT) and microarrays
- Ensuring high data quality and providing QC reports
- Extensive informatics support for tracking, processing and managing large volumes of raw sequence data
- Training and advice on the use of a variety of bioinformatics tools and analyses
- Collaborating with research groups to perform downstream analyses
- Developing software tools to aid scientists in the analysis of omic datasets
- Evaluating data from trials of cutting-edge technologies and methodologies (e.g. single-cell)
- Assistance with manuscript preparation and submitting data to public repositories
* In-depth downstream analysis is primarily for groups based at the Wellcome Centre for Human Genetics, but please contact us for more information on the support available for your project.