Healthcare systems around the globe are transforming medical practice to incorporate genetic variation as a vital information used for diagnosis and treatment planning. Genome sequencing technologies allow us to detect all variants in a patient’s genome and international collaborative efforts such as The 100,000 Genomes Project, The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) have begun to catalogue and release data on genomic variation in a variety of disease types.
However, such datasets pose new challenges in the way the data have to be analyzed, annotated and interpreted which are not trivial and are daunting to the clinician or biomedical scientist.
This course covers state-of-the-art and best-practice tools for the analysis of cancer genomes. We describe, and give hands-on experience of, the entire analysis workflow from raw data generated by a sequencing machine to deriving variant calls (e.g. Single Nucleotide Variants) that are ready for downstream analysis, interpretation and prioritisation.
We will describe the steps involved to go from sequencing library to a prioritised, clinically-relevant list of DNA variants. Practical sessions will use the user-friendly Galaxy interface (https://usegalaxy.eu/) to demonstrate tasks such as alignment, quality control, variant-calling and annotation
Healthcare providers and researchers who want to get an appreciation for how somatic variants are identified and annotated, but not neccesarily working on this problem routinely.
Registration is open now
For queries relating to collaborating with the Bioinformatics Core team on projects: bioinformatics-core@sheffield.ac.uk
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Requests for a Bioinformatics support clinic can be made via the Research Software Engineering (RSE) code clinic system. This is monitored by Bioinformatics Core staff, so we will ensure the appropriate expertise (which may involve individuals from multiple teams) will be available to help you
Queries regarding sequencing and library preparation provision at The University of Sheffield should be directed to the Multi-omics facility in SITraN or the Genomics Laboratory in Biosciences.