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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Bioinformatics 2 (INFR11005)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaInformatics Other subject areaNone
Course website Taught in Gaelic?No
Course descriptionBioinformatics is at the interface between two of the most influential scientific fields. An appreciation of computational and biological sciences, in particular the terminology employed in both fields, is essential for those working at such an interface. In this course, we aim to cover the following:

* The concepts of computer science that relate to problems in biological sciences.
* Commercial and academic perspectives on bioinformatics.
* The impact of bioinformatics on the methodologies used in biological science.
* The influence biological science has on computing science.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Bioinformatics 1 (INFR11016)
Prohibited Combinations Other requirements This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.

This course assumes some mathematics at the level of undergraduate computer science, including:
- Probability theory, particularly discrete random variables;
- Some (very basic) statistics

No specific programming is taught or required, but students should be familiar with using software packages and will be required to use some packages in R for the lab/assignment.
Additional Costs None
Information for Visiting Students
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2013/14 Semester 2, Available to all students (SV1) Learn enabled:  No 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 020, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 76 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Summary of Intended Learning Outcomes
1 - Describe the main computational algorithms used in the analysis of biological sequences
2 - Discuss the practical limitations of sequence analysis methods and contrast the methods available
3 - Appraise common biological data sources and the key contributing error/noise sources in such data
4 - Demonstrate an understanding of how experimental design in biology is critical to subsequent data analysis and representation in bioinformatics
5 - Critically evaluate research literature in the field
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0

Coursework will be assessed through a mini project exploring a research area of bioinformatics.

If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year.
Special Arrangements
Additional Information
Academic description Not entered
Syllabus The course will cover the following:

* What is Bioinformatics?
* Pairwise and Multiple sequence alignment algorithms.
* Heuristic alignment algorithms and high throughput strategies.
* Identification and clustering of protein families and domain families.
* Phylogenetic reconstruction.
* Gene identification and annotation strategies in genomics.
* Sources of error in biological data and data provenance.
* Analysis of gene expression data.
* The future of bioinformatics: proteomics, neuroinformatics, e-science.

Relevant QAA Computing Curriculum Sections: Data Structures and Algorithms, Developing Technologies
Transferable skills Not entered
Reading list An Introduction to Bioinformatics Algorithms, Jones & Pevzner, MIT Press.
Study Abroad Not entered
Study Pattern Lectures 20
Tutorials 0
Timetabled Laboratories 0
Non-timetabled assessed assignments 30
Private Study/Other 50
Total 100
KeywordsNot entered
Course organiserDr Iain Murray
Tel: (0131 6)51 9078
Course secretaryMs Katey Lee
Tel: (0131 6)50 2701
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