ENGINEERING TRIPOS PART IIB - 2012/2013 (module not running this year)
Module 4G1 - Systems Biology
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Leader:
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Dr G Vinnicombe |
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Timing:
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Lent Term
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Prerequisites:
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None
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Structure:
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16 lectures (including 2 examples classes and 1 seminar)
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| Assessment: |
Material / Format / Timing / Marks
Lecture Syllabus / Coursework 100 % |
AIMS
The course covers topics in machine learning and Markov proceses with application to examples from biology. No background in biology is assumed.
The aims of this modules are to:
- Illustrate the approaches which are taken to decipher the genetic information encoded in genomes
- Demonstrate how evolutionary origin can be inferred from genome analysis
- Consider the advantages and limitations of the use of aray technology to study gene expression
- Illustrate how mathematical approaches can be used to study regulatory networks
Further details and online resources
LECTURE SYLLABUS
Introduction to genomics (2L, Dr G. Vinnicombe)
- Concepts of genes and genomes
- Organisation of genetic material in cells
Gene Expression Analysis (4L, Dr G. Vinnicombe)
- Introduction to microarray technology
- Exploratory analysis and pre-processing of microarray data
- Experimental design
- Finding candidate genes for differential expression
- Downstream analysis of gene expression data
Systems biology: The regulation of gene expression (4L, Dr J. Goncalves)
- Deterministic modelling. Notes for this part
- Notes for this part. Examples paper Regulatory networks will be described dynamically using sensitivity analyses and estimates for random fluctuations.
- Processes studied include gene expression, anabolic reactions and replications
Genome annotation, evolution and analysis (4L, Dr. J. Goncalves)
- Identification of interesting features in a genome sequence
- Models of genome evolution
- Introduction of algorithms for genome analysis and phylogenetic inference
OBJECTIVES
At the end of the course students will:
- Have developed an understanding of methodologies currently used for genome sequence analysis
- Understand the application of array techologies to study differential gene expression
- Appreciate how regulatory networks can be analysed mathematically
REFERENCES
Please see the Booklist for Group G Courses for references for this module.
Last updated: May 2012
teaching-office@eng.cam.ac.uk