Computer Laboratory > Teaching > Course material 2007–08 > Computer Science Tripos Syllabus and Booklist 2007-2008 > Bioinformatics

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Bioinformatics

Lecturer: Dr P. Liò

No. of lectures and examples classes: 12 + 2

Aims

The immense growth of biological information stored in databases has led to a critical need for people who can understand the languages and techniques of Computer Science and Biology. The first two lectures will focus on some aspects of Molecular Biology that are relevant to the course; other biological insights will be given as examples and applications in other lectures. This course will discuss algorithms for some important computational problems in Molecular Biology that are pertinent to Biotechnology and to the so-called ``Post-genome era''. We shall focus on Hidden Markov models and Phylogenetic inference algorithms for Comparative Genomics. Students will learn how to describe biological processes using Pi calculus and will be encouraged to think in two ways: How can Computer Science be useful to Biology? How can Biology be useful to Computer Science? In order to seed and to stimulate this approach, part of the course will be based on biological networks that offer many opportunities for comparing biological and electronics systems.

Lectures

Objectives

At the end of this course students should

Recommended reading

* Durbin, R., Eddy, S., Krough, A. & Mitchison, G. (1998). Biological sequence analysis: probabilistic models of proteins and nucleic acids. Cambridge University Press.
Felsenstein, J. (2003). Inferring phylogenies. Sinauer Associates.
Fall, C., Marland, E., Wagner, J. & Tyson, J. (2002). Computational cell biology. Springer-Verlag Telos (1st ed.).
Bower, J.M. & Bolouri, H. (2001). Computational modeling of genetic and biochemical networks. MIT Press.



next up previous contents
Next: Comparative Architectures Up: Lent Term 2008: Part Previous: Advanced Systems Topics   Contents