Postgraduate Course: Genomics and Biological Pathways (BIME11061)
Course Outline
School | Deanery of Biomedical Sciences |
College | College of Medicine and Veterinary Medicine |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
SCQF Credits | 80 |
ECTS Credits | 40 |
Summary | Post genomics continues to be a rapidly evolving field. This is particularly true in the mapping and modelling of biological systems using datasets from high throughput genomic, proteomic and imaging experiments. Sophisticated modelling and analytical methods are being developed via an interdisciplinary approach involving biologists, bioinformatics, computational and physical sciences. The mapping and interpretation of biological pathways and networks is critical for a more complete understanding of biological systems relevant to disease and development. In order to achieve this, it is becoming increasingly possible to derive sophisticated biological pathways and networks from high throughput genomic (transcriptomic and RNA interference), proteomic and imaging data.
The course will run from September to March, and will provide:
(1) an introduction to the genetic pathways underpinning development, normal function and disease, together with the tools for mapping them formally, (2) seminar presentations and discussion by the students on important papers associated with pathways, and (3) A 20 week project on a theme related to pathway biology which may be either laboratory-based or involve literature and computational work.
Seminars and lectures will be held twice weekly from September to December.. Examples of topics covered include:
- Introductory sessions on pathway mapping and analysis.
- Outline of IT technologies and systems for generating and interpreting biological networks
- Data integration and use of ontologies in pathway and network modelling
- Exploring through seminar work important examples of biological networks, including:
- Viral-host interactions
- The interferon regulatory network
- Modelling of the tumour necrosis factor network
- Systems biology of the macrophage
- Modelling of tissue specific gene expression in disease and development |
Course description |
A series of lectures and tutorials covering the academic discipline of Genomics and Pathway Biology, complementing and providing breadth and depth to the laboratory research.
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
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Academic year 2023/24, Available to all students (SV1)
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Quota: None |
Course Start |
Blocks 1-3 (Sem 1-2) |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
800
(
Seminar/Tutorial Hours 20,
Dissertation/Project Supervision Hours 19,
Feedback/Feedforward Hours 4,
Formative Assessment Hours 4,
Other Study Hours 13,
Programme Level Learning and Teaching Hours 16,
Directed Learning and Independent Learning Hours
724 )
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Additional Information (Learning and Teaching) |
Other Study Hours
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Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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Additional Information (Assessment) |
One 20 week research project write-up (maximum 10,000 words) = 100% |
Feedback |
Not entered |
No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- To provide students with thorough and specific preparation for 3 year PhD training in the life sciences
- To award an MSc by Research en route to the PhD
- To provide an opportunity, if necessary or desirable, to exit from research training at the end of Year 1 with an Edinburgh Masters or Diploma by Research Degree
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Reading List
Current relevant primary and review literature in the Genomics, and Pathway Biology academic discipline |
Contacts
Course organiser | Dr Douglas Roy
Tel: (0131) 242 6279
Email: |
Course secretary | Miss Fiona Brodie
Tel: (0131 6)51 5997
Email: |
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