Bioinformatics Individual Research Project
| Code | School | Level | Credits | Semesters |
| LIFE4137 | Life Sciences | 4 | 60 | Summer UK |
- Code
- LIFE4137
- School
- Life Sciences
- Level
- 4
- Credits
- 60
- Semesters
- Summer UK
Summary
This module serves as the individual research project in Bioinformatics for participants. Each student will be paired with a researcher addressing a specific problem in any area of the biological sciences requiring a bioinformatics-based solution. Where required, projects may be co-supervised by researchers with expertise in both the fundamental biology question and a supporting informatics expert. Where the primary supervisor has sufficient bioinformatics and biological expertise to supervise the project, a secondary supervisor will only be required to monitor progress. The project will consist of independent working in a research environment.
Target Students
This module is only availablefor students on the MSc Bioinformatics U7UBIONF (I500).
Classes
This module may be delivered through lectures, seminars, workshops and labs etc
Assessment
- 35% Viva: Students will undergo a 15 minute viva with a panel of academics.
- 65% Thesis: Students will prepare a 10,000 word (max) project write up (thesis) in the format of a scientific paper as per instructions, describing the background, methods, results and discussion. The project should include an electronic appendix / set of supplementary files containing code, scripts, and data placed in an appropriate online repository such as a github or bitbucket. Code will be assessed for commenting and reproducibility.
Assessed by end of summer vacation
Educational Aims
This project will enable students to obtain first-hand experience of the bioinformatics research environment and experience with a real biological question.Learning Outcomes
A student successfully completing this programme should acquire an understanding of the intersection of life and information sciences.
A student should be able to use existing software effectively to extract information from large databases and to use this information in subsequent analyses.
Successful students will be able to read, analyse and critically assess scientific data and methodologies, making decisions on their significance and best implementation.
Successful students will have the capability to assess and provide leadership in developing bioinformatics workflows to analyse complex and large datasets in the biological sciences.
Successful students will be able to understand, assess and assist in the application of bioinformatics methods and workflows to a diverse range of problems in the biological sciences.
A successful student will be able to independently acquire knowledge and utilise it for applied or research purposes.
Students will be able to apply existing bioinformatics workflows and tools in any environment.
Students will be able to write and develop new methodologies in bioinformatics.