Postgraduate Course: Next Generation Genomics (BILG11004)
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 |
Taught in Gaelic? | No |
| Course description | This course will introduce next generation genomics technologies, and guide students through the bioinformatics analysis of data across the wide range of applications possible (from genome sequencing, so small RNA discovery, to expression quantification).
There will be a particular focus on building understanding of the algorithms used in the bioinformatics analyses, and of the interplays between genetic variability, genome complexity and experimental and statistics noise. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 2, Not available to visiting students (SS1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
13/01/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 30,
Summative Assessment Hours 3,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
65 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Next Generation Genomics | 3:00 | |
Summary of Intended Learning Outcomes
| On successfully completing the course, students will be able to demonstrate an understanding of the molecular biology and technological underpinnings of next-generation sequencing, be conversant with the core algorithms used in data analyses, and aware of the many applications for which the technologies. They will be able to choose in an informed way, the best analytical solutions for particular problems, and have an overview of the landscape of advances in genomics and genome-scale data analysis. |
Assessment Information
The course will be assessed by:
(a) an in-course assessment esssay (based on literature review of a selected topic in next-generation genomics bioinformatics) (worth 50%)
(b) an essay-based exam paper (worth 50%) |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
The course will cover the following topic areas, through delivered lectures, class discussion, tutorials, and hands-on practicals:
- Introduction to the technologies of next generation sequencing
- Investigating genome variability, gene expression, gene regulation and genome structure by mapping sequences to a reference genome
- Assembling genome and transcriptome sequences de novo from next generation sequencing data
- The future prospects: the third generation of sequencing technologies, and the bioinformatics challenges they propose. |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | NGG |
Contacts
| Course organiser | Dr Karim Gharbi
Tel:
Email: karim.gharbi@ed.ac.uk |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 13 January 2014 3:34 am
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