This optional module will extend your knowledge and capabilities for bioinformatic analysis of genomic data, beyond that achieved in the core Bioinformatics module. You will gain greater understanding of the different approaches to mapping and alignment of sequence data, learn how to use programming and scripting via command line and the Galaxy interface and learn approaches for detection of structural or copy number changes, and for analysis of epigenetic changes.
Much of the learning on the module is based on practical exercises and to ensure optimal teaching support for these sessions, the number of places is capped at 10.
This module is significantly more demanding than Module 3 (Bioinformatics, Interpretation and Data Quality Assurance in Genome Analysis) and students are strongly encouraged to discuss their suitability with module staff prior to enrolling.
15 Masters level credits
Module attendance required
Teaching delivered one day each week for 5 consecutive weeks.
To be confirmed. Please contact the Programme Administrator for further information at firstname.lastname@example.org
The module will be assessed via a short software presentation, and an exam made up of multiple-choice 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
Professor Jean-Baptiste Cazier (University of Birmingham Chair of Bioinformatics; Director Designate of the Centre for Computational Biology)
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 Fundamentals in Human Genetics and Genomics , Omics Techniques and Technologies and their Application to Genomic Medicine and Bioinformatics, Interpretation and Data Quality Assurance in Genome Analysis first, or be able to show you have equivalent knowledge and understanding to enable you to benefit from this module.
Please contact the Programme Administrator for further information at email@example.com