MSc Bioinformatics and Systems Biology / Course details
Year of entry: 2025
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Course unit details:
Bioinformatics
Unit code | BIOL60791 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Aims
It introduces students to basic practical molecular sequence and structure analysis techniques, tools and resources (including molecular evolution and phylogeny), and provides an overview of transcriptomics and comparative genomics. Emphasis is given to the application of bioinformatics and computational analysis to problem solving in real research scenarios.
Learning outcomes
• Understand the complexity of biological systems & molecular functions
• Understand a range of bioinformatics & ‘omics analysis tools, resources & databases
• Understand proteomic, genomic & transcriptomic data-types
• Understand methods of genome sequencing
• Understand & apply methods of genome analysis
• Understand the fundamentals of molecular evolution and phylogeny and apply methods
• Understand pattern-recognition concepts underpinning commonly used analysis tools
• Understand the limitations of current databases & analysis tools
• Understand the importance of synthetic analysis & interpretation of resource outputs
• Gain hands-on experience of practical analysis of biological data
• Gain experience in communicating research findings in a short research ‘paper’.
Assessment methods
Sequence Analysis: written report on practical assignment – up to 1,500 words in length - 33.33 % weighting;
Genomics: written report on practical assignment – up to 1,500 words in length - 33.33% weighting;
Phylogenetics and Structural Biology: written report on practical assignment – up to 1,500 words in length - 33.33% weighting.
Feedback methods
Recommended reading
The following books are recommended:
Higgs, P. & Attwood, T.K. (2005) Bioinformatics & molecular evolution. Blackwell.
Attwood, T.K. & Parry-Smith, D.J. (1999) Introduction to bioinformatics. Pearson Education.
Zvlebil, M. & Baum, J.O. (2007) Understanding Bioinformatics. Garland Science (Optional)
Study hours
Independent study hours | |
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Independent study | 150 |
Teaching staff
Staff member | Role |
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David Talavera | Unit coordinator |