D2DBT9 Genetic Analysis and Bioinformatics
(Last Updated:07 April 2010)

Year  09/10

Total Credits: 10

Level: Level 4

Target Students:  MSc Applied Biomolecular Technology  Available to JYA/Erasmus students.

Taught Semesters:

Prerequisites: 

Corequisites:  None.

Summary of Content:  The course will cover the techniques required for analysis of gene expression appropriate to both eukaryotic and prokaryotic systems. The module will begin with a review of gene structure and the process of transcription and will then outline appropriate methods for investigating patterns of gene expression and the interactions of DNA and proteins. The coursework exercises are designed to illustrate the topics covered in the lecture course and will give students experience of critical analysis of research data. The module will also provide and introduction to the use of bioinformatics for the analysis of DNA and protein sequence data as well as an introduction to systems biology and network systems. Special emphasis is placed on the analysis of genomic and transcriptomic data. Students give individual short presentations.

Method and Frequency of Class:

Method of Assessment: 

Convenor: 
Dr T Robbins
Dr K Mellits
Dr D Scott
Dr J Jia

Education Aims:  The module aims to introduce students to the molecular methods used for elucidating genetic control mechanisms. In addition students are given experience of preparation of genomic DNA and analysis of hybridisation data. The module will also provide an introduction to the use of bioinformatics in gene and protein analysis.

Learning Outcomes:  A. Knowledge and understanding - to learn: · Basis of molecular methods for analysis of gene expression, as well as an introduction to genomic and post-genomic technologies, with an ascent on the developments in systems biology. · An understanding of the application of molecular methods for analysis of gene expression B. Intellectual skills - the ability to: · Acquire information about a particulate gene system interpretation of gene system · Develop ideas from the comparison of gene sequences · Develop skills to orientate post-genomic data in a systems biology context. C. Practical skills (or Professional skills where appropriate) - the ability to: · Preparation of plasmid DNA · Interpretation of DNA-based data · Microarray analysis · Systems biology and network analysis. D. Transferable / key skills- the ability to: - Critical appraisal of data presented in research papers - Presentation skills

Offering School:  Biosciences

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