Please note: there may be some adjustments to the teaching arrangements published in the course catalogue for 2020-21. Given current circumstances related to the Covid-19 pandemic it is anticipated that some usual arrangements for teaching on campus will be modified to ensure the safety and wellbeing of students and staff on campus; further adjustments may also be necessary, or beneficial, during the course of the academic year as national requirements relating to management of the pandemic are revised.

Introduction to Omics for Precision Medicine BIOL5360

  • Academic Session: 2021-22
  • School: Infection Immunity and Inflammation
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: No
  • Available to Erasmus Students: No

Short Description

This course will provide students with the critical understanding of a range of modern omics technologies and their applications. The course will introduce the students to genomic, transcriptomic, proteomic and metabolomic techniques and the analytical approaches that can be employed to examine the data output.

Timetable

This course is made up of lectures and tutorials which take place in semester 2.

Requirements of Entry

None

Excluded Courses

None

Co-requisites

None

Assessment

Essay (2,000 words approx.) - 75%

Poster - 25%

Course Aims

The aims of this course are to provide students with:

■ Knowledge of omics approaches and the molecular basis of omics studies.

■ Knowledge of advantages and challenges of omics approaches compared to conventional target analysis.

■ Knowledge of omics data analysis tools and technologies used for analysing omics data.

■ The skills to design an omics experiment and analyse the data output.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

1. Critically discuss omics technologies; from gene to gene products to metabolism.

2. Critically evaluate the benefits of the different levels of omics data collection and the challenges to omics data collection.

3. Critically discuss the importance of validating omics data and evaluate strategies available to do this.

4. Design an experimental strategy to exploit omics analysis and critically discuss the importance of controls and validation in omics strategies.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.