Postgraduate Course: Functional Genomic Technologies (PGBI11040)
Course Outline
| School |
School of Biological Sciences |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Not available to visiting students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Postgraduate |
Other subject area |
None |
| Course website |
None |
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| Course description |
Genome sequencing has already revolutionised biology and medicine, but we are still at the early stages of understanding how this sequence is interpreted to produce a functioning biological organism. Just as genomic sequencing would not have been possible without the development of high-throughput sequencers so the quest to understand the functioning of the genome requires the development of a whole new set of technologies. This course is about these emerging technologies and the new challenges and opportunities they present to bioinformatics.
This course will provide an introduction to functional genomics, microarray technologies and will emphasise applications of these technologies, data analysis and experimental design.
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Entry Requirements
| Pre-requisites |
It is RECOMMENDED that students have passed
Bioinformatics 1 (INFR11016)
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Co-requisites |
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| Prohibited Combinations |
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Other requirements |
None
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| Additional Costs |
None |
Course Delivery Information
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| Delivery period: 2010/11 Semester 2, Not available to visiting students (SS1)
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WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | | 1-11 | | | | 14:00 - 15:50 | |
| First Class |
First class information not currently available |
Summary of Intended Learning Outcomes
| On successful completion of the course, students will be able to demonstrate an understanding of the emerging technologies and how they can be applied to address biological questions. Students will be able to design experiments, interpret and analyse data generated from the key technologies. Students will be able to assess the strengths and weaknesses of each technology and apply this knowledge when interpreting and analysing data |
Assessment Information
| Written examination will account for 80% and assignments 20%. |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Simon Tomlinson
Tel: (0131 6)51 7252
Email: simon.tomlinson@ed.ac.uk |
Course secretary |
Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
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copyright 2010 The University of Edinburgh -
1 September 2010 6:24 am
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