Bioinformatics (BSTA5013)


Aim: Bioinformatics addresses problems related to the storage, retrieval and analysis of information about biological structure. This unit will provide a broad-ranging study of this application of quantitative methods in biology. Topics studied will be selected from: data sources, data retrieval, quantitative methods in genome science, proteome science, population genetics, evolutionary genetics and animal and plant breeding. A suitable preparation in statistics and in biology is strongly recommended. Content: Basic notions in biology; basic principles of population 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; analysis of microarrays; functional genomics; use of R in bioinformatics applications.

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8-12 hours total study time per week, distance learning


3 written assignments (3x20%), at-home exam (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.

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