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Curricular information is subject to change
On completion of this module students should be able to:
1) Explain fundamental principles of genome, epigenome, transcriptome, proteome and metabolome biology.
2) Describe the various high-throughput technologies available to investigate biological systems in health and disease.
3) Outline the advantages/limitations of different omics approaches, and key factors underlying choice of biological material for studies.
This module aims to offer a comprehensive overview of the fundamentals of omics sciences and the potential of the datasets emerging from these technologies to diagnose, monitor, and target many common diseases. Topics covered include introductory lectures to explore fundamental principles of the human genome, transcriptome, epigenome, proteome and metabolome. Applications/Technology lectures will cover practical consideration in biological sample sourcing, best practices, sample preparation, technological solutions and interpretation. Content will be delivered by UCD School of Medicine staff as well as invited expert lecturers with pharma experience.
Student Effort Type | Hours |
---|---|
Autonomous Student Learning | 122 |
Lectures | 13 |
Tutorial | 4 |
Laboratories | 4 |
Total | 143 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): 1 hour examination (mix of multiple choice and short answer questions) | n/a | Standard conversion grade scale 40% | No | 50 |
|
Group Work Assignment: Groupwork journal club/presentation | n/a | Graded | No | 20 |
|
Group Work Assignment: Working in groups you will be tasked with discussing a topical paper in the area of precision medicine/technology applications. | n/a | Graded | No | 30 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 1 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
Individuals requesting one to one feedback can schedule appointments with the MC or lecturer at mutually agreeable times. Feedback on essays and group work will be provided prior to submission.
Name | Role |
---|---|
Professor Walter Kolch | Lecturer / Co-Lecturer |
Professor Brendan Loftus | Lecturer / Co-Lecturer |
Dr Vadim Zhernovkov | Lecturer / Co-Lecturer |