- Lecturer
- Dr G. Byrnes, Melbourne, Semester 1.
- Syllabus
- The course is a survey of some applications of probability,
statistics and computer science to problems in genetics and
molecular biology. Topics will be selected from: random clone
libraries and the ordering of cloned DNA fragments and sequence
tagged sites; the Sanger method of DNA sequencing, including
processing traces, sequence assembly and accuracy; topics in
biological sequence analysis, including Markov models of molecular
evolution, pairwise and multiple alignment, database searches, and
hidden Markov models for the proteins, genes and other features of
DNA and protein sequences; methods for the prediction of secondary
structure; and inferring phylogenies.
Topics will be illustrated with computational tools available via
the internet. Course notes will be available.
- Prerequisites
- Most importantly, a sufficient level of mathematical maturity to
absorb new skills independently. Probability and statistics at the
second year level, and the basic notions of genetics and molecular
biology, as presented in any first-year biology course or text.
Generic
skills
- References
References
- Durbin, R., Eddy, S., Krogh, A. and Mitchison, G.(1998) Biological Sequence Analysis , Cambridge University Press (paperback)
- Waterman, M.S. (1995) Introduction to Computational Biology: Maps, sequences and genomes , Chapman and Hall.
Back to list of elective components
Last updated: 30 October 2002.