This module explores current genomics techniques used for DNA sequencing (e.g. targeted approaches, whole exome and whole genome sequencing) and RNA sequencing, using highly parallel methodologies, together with current technologies routinely used to investigate genomic variation in the clinical setting. This module will introduce the bioinformatics approaches required for the analysis of genomic data. The module will also cover the use of array based methodologies and RNA sequencing in estimating levels of protein expression, micro RNAs and long non–coding RNAs. An introduction to metabolomics and proteomics, which are important for the functional interpretation of genomic data and discovery of disease biomarkers will also be included. Students will also learn about the strategies employed to evaluate pathogenicity of variants for clinical reporting.
15 Masters level credits
Module attendance required
Teaching delivered as a five-day block
23-27 September 2019
The module will be assessed via a short presentation, and an exam including short answer questions and a choice of essay. For those taking the module as a stand-alone option, you need only take the assessment if you require the University credits.
Academics involved in the delivery of this module
Dr. Yvonne Wallis (Head of Familial Cancer Section/Head of Research, Academic and Service Developments, West Midlands Regional Genetics Laboratory, Birmingham)
Dr Samantha Butler (Principle Clinical Scientist, Regional Genetics Laboratory, Birmingham)
University staff teaching:
Other NHS staff teaching:
- Dr Dom McMullan
- Dr Pauline Rehal
- Dr Lisa Reali
- Dr Samuel Clokie
- Dr Piers Fulton
- Dr Ana Bras Goldberg
- Dr Richard Barber
This module can be taken as a stand-alone assessed or non-assessed course.
You should have a good honours degree in a life sciences subject, although we will consider applicants with alternative qualifications and professional experience within the health service or other relevant background. You should either take our Fundamentals in Human Genetics and Genomics module first, or be able to show you have equivalent knowledge and understanding to enable you to benefit from this module.
Please contact the Programme Coordinator for further information at email@example.com