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™)
- ONT (MinION and PromethION)
In addition we also provide bioinformatics training, collaborating with research groups on specific projects and developing software tools.
Policies and guidelines for publications
As per commonly-accepted scientific practice, we ask that the relevant member(s) of BSG be listed as co-authors in all publications arising from the data where significant intellectual contribution has been made, such as consultation on experimental design, data processing beyond that provided by our standard pipelines and/or interpretation of results.
In such cases, the BSG analyst(s) will provide input for writing and editing co-authored manuscripts, as well as support for the upload of the datasets on a publicly available database repository of high-throughput data, where needed.
BSG should also be acknowledged in all publications incorporating data generated by our bioinformatics pipelines, in a format similar to: "We thank [Name of Analyst(s) Here] of the Bioinformatics and Statistical Genetics Core at the Wellcome Centre for Human Genetics, University of Oxford. This work was supported by the Wellcome Trust [203141/Z/16/Z]". This is so our contribution is documented for administrative and funding purposes.