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Module details
This is advance information about a new
module.
We are currently unable to confirm whether or when it will be
available.
CO893 Biological Information Processing (15 credits)
Syllabus
- The various forms in which organisms process information. A particular emphasis in the context of this module will be placed on how information about the environment is used in order to regulate the expression of genes. This will be related back to basic ideas about information processing in digital computers.
- SBML and systems biology models: The Systems Biology Modelling Language is based on XML and has in recent years evolved as the de-facto standard describe models of biological processes in a machine readable form. The module will not cover the details of the language but make the students aware of its existence, its use and limitations.
- The module will describe some of the available computational modelling environments to model biological systems.
- Modelling techniques: There are a number of methods to model biological systems, the main ones being: Differential equations, stochastic simulation algorithms (Gillespie algorithm, Gibson-Bruck algorithm), agent-based methods (Stochsim), probabilistic model checking. The principles and scope of application of these methods will be part of the module.
- Genetic regulatory networks: The module will cover the general engineering principles how cells control the expression of genes. This control is achieved through networks of interacting molecules. These networks are highly non-random and exhibit so-called motifs, i.e. recurring patterns of interactions between molecular species. These motifs can be related to well known engineering principles.
Note that mathematical tasks will be carried out using a computer algebra system.
Note
This web page provides advance information about a module due to run in the coming academic year. We believe the details are accurate at the time of writing but they may be subject to change.