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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2012/2013
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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 http://www.inf.ed.ac.uk/teaching/courses/bio2 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)
Co-requisites
Prohibited Combinations Other requirements For Informatics PG and final year MInf students only, or by special permission of the School. This course assumes an undergraduate degree in computing or mathematical sciences. However, it would also be suitable for an individual from biological sciences with some programming experience.
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2012/13 Semester 2, Available to all students (SV1) Learn enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 11:10 - 13:00
First Class Week 1, Wednesday, 11:10 - 13:00, Zone: Central. 112, 24 Buccleuch Place
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

Assessment
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
None
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
Contacts
Course organiserDr Iain Murray
Tel: (0131 6)51 9078
Email: I.Murray@ed.ac.uk
Course secretaryMiss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk
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