CNWY40090 Introduction to 'Omic' & Advanced Imaging Technologies

About the course

Familiarises students with the principles, practice and application of rapidly developing ‘omic’ and imaging technologies.

Credits ECTS 5

Dates February 2023: 13rd, 16th, 17th, 20th, 23th, 24th, 27th and March 2023: 2nd, 3rd

Module co-ordinator   Prof. Matthias Wilm

Venue   Onsite (Venue TBD)

Registration closes 10 February 2023

Places available  30

Course structure

The module is delivered as 10 x 3 hours of seminar-style sessions designed to encourage interatcion and discussion between lecturers and students

Credit requirements

  • Prior to each seminar, you must read and be prepared to discuss recent reviews on the development and application of the technologies covered in the seminar
  • You will be required to carry out an online bioinformatic exercise as part of the assessment
  • You will be required to complete a series of short answer questions after each seminar

What does it cover?

  • Genomics and transcriptomics
  • Proteomics
  • Glycomics
  • Metabolomics
  • Imaging – from cell to person
  • Flow cytometry

Why enrol?

These skills are transferable to further graduate research, training or employment.

On completion, you will:

  • Understand the use of instruments and methods in proteomic analysis
  • Be aware of the clinical applications of proteomics
  • Have an understanding of glycomics and its applications
  • Have an understanding of the emerging area of metabolomics and its applications 
  • Understand the application of genomics to trait and disease identification, diagnostics and personalised medicine
  • Have a general understanding of transcriptomics, regulation of the transcriptome and the use and advantages and disadvantages of microarray technologies
  • Understand innovations and advances in current imaging technologies and the relevance and importance of the basic principles of imaging to the most widely used technologies for in vitro, in vivo and diagnostic research
  • Be familiar with the concepts, the principles, practice and application of flow cytometry and cell sorting and have a general understanding of sample preparation, the analysis and reanalysis of the data produced in a flow cytometer.

Next steps