UPDATE: There are currently no module dates available for 2018 for this module.

Module lead: Prof Jean-Baptiste Cazier

Module code: 01 27606

Credits: 15

Attendance: Teaching delivered one day each week for five consecutive weeks

Learning hours: 150 hours – teaching and private study

The Advanced Bioinformatics module will provide the students with extra knowledge and programming skills to analyse NGS data beyond the typical pipeline. It includes presentation of the key mapping approaches essential for the identification of point-mutation, small and large structural variations, especially in the context of heterogeneous cancers. It will cover as well complementary aspects of NGS used to confirm/infirm findings.

By the end of the module students should be able to:

  • Discuss the principles of, and differences between alternative approaches to mapping and alignment of genomic data
  • Understand and apply the principles of programming and scripting via command line and Galaxy interface
  • Understand and apply methods for detecting structural or copy number changes in genomic data
  • Explain how complex epigenetic changes can be detected beyond NGS

Assessment: The module will be assessed via a short software presentation and an exam made up of multiple-choice questions and a choice of essay (exam typically around five-six weeks after the teaching).