Unit name | Computational Genomics and Bioinformatics Algorithms |
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Unit code | EMATM0004 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Professor. Cristianini |
Open unit status | Not open |
Pre-requisites |
An understanding of basic probability theory, and elementary programming skills are essential. Prior knowledge of Matlab is helpful but not essential. |
Co-requisites |
None |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
The unit will focus on case studies of analysis of single genomes. It covers: gene finding; genome evolution; gene expression analysis; sequence alignment; hidden Markov models; phylogenics.
Aim:
To introduce students to practical tasks of genome analysis, based on real case studies.
Lectures and computer laboratories
100% coursework: all learning outcomes are assessed in 2 written projects (50% each) in which students undertake analysis tasks of real world biological data and report the results.
Nello Cristianini and Matthew W. Hahn Cambridge University Press, 2006 Hardback and Paperback (ISBN-13: 9780521856034 | ISBN-10: 0521856035