The aim of this unit is to provide students with an introduction to the field of Bioinformatics. Bioinformatics is a multidisciplinary field that combines biology with quantitative methods to help understand biological processes, such as disease progression. Content: basic notions in biology; basic principles of statistical genetics; web-based tools, data sources and retrieval; analysis of single and multiple DNA or protein sequences; hidden Markov models and their applications; evolutionary models; phylogenetic trees; transcriptomics (gene expression microarrays and RNA-seq); use of R in bioinformatics applications.
8-12 hours total study time per week
3 written assignments (20% each); final at-home examination (40%)
Durbin R, Eddy S, Krogh A, Mitchison G. Biological Sequence Analysis: Probabilistic models of proteins and nucleic acids. Cambridge University Press, 1998. ISBN 978-0-521-62971-3. Notes supplied.
This unit of study is only offered in odd numbered years. It is available in 2017.