Bioinformatics Group Research Project
| Code | School | Level | Credits | Semesters |
| LIFE4136 | Life Sciences | 4 | 60 | Spring UK |
- Code
- LIFE4136
- School
- Life Sciences
- Level
- 4
- Credits
- 60
- Semesters
- Spring UK
Summary
This module provides an opportunity for students to develop skills as part of a team working on a pre-existing data set. Students will be placed into groups and tasked with working together to reproduce and improve upon the analysis on a large pre-existing data set. Students will be supported through tutorials and workshops focussed on the datasets they are analysing.
Target Students
This module is only available for students on the MSc Bioinformatics.
Classes
This module may be delivered through lectures, seminars, workshops and labs etc
Assessment
- 33% Presentation 1: Students will present their group project (25 minutes with 5 minutes for questions) to the remainder of the cohort. Assessment of the presentation will be by module staff.
- 33% Project 1: Students will prepare a 3,000 word (max) project writeup
- 34% Report 1: Students will write up a complete code report (github repository).
Assessed by end of spring semester
Educational Aims
The focus of this group project is to provide students with experience of working in a larger group on a single question. By utilising existing datasets, students will be able to reproduce and improve upon prior analyses. At the end of the project students should be able to communicate and work in a team, understand existing analyses and exercise critical thinking for the improvement of existing analyses.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.