MTH3241

Mathematics for bioinformatics ( 6 points, SCA Band 2, 0.125 EFTSL)

Leader: Dr A Sudbury

Offered:
Clayton First semester 2005 (Day)

Synopsis: This unit introduces the methods of stochastic processes and statistics used in the analysis of biological data. At the completion of the unit students will understand the application of classical statistical inference to the analysis of single and multiple DNA and protein sequences, the use of the theory of the random walk in comparing DNA and protein sequences (BLAST), hidden Markov models and evolutionary models. Apart from applications in molecular biology, students will gain an insight into statistical inference and stochastic processes. The unit does not require a background in biology.

Objectives: On completion of the unit, students will understand the application of classical statistical inference to the analysis of single and multiple DNA and protein sequences, the use of the theory of the random walk in comparing DNA and protein sequences (BLAST), hidden Markov models, and evolutionary models. Apart from applications in molecular biology, students will gain an insight into statistical inference and stochastic processes applicable in other contexts.

Assessment: 40% Assignments, 60% final exam

Contact Hours: 3 lectures, 1 tutorial per week

Prerequisites: MTH2010, MTH2032, MTH2222, STA2022 or STA3022. MTH2222 is highly recommended.