Immunology BSc/MSci
Bioinformatics and Data Analysis using R 4B option BIOL4297
- Academic Session: 2026-27
- School: School of Molecular Biosciences
- Credits: 20
- Level: Level 4 (SCQF level 10)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
This course will provide students with theory and extensive practice in data analysis and plotting in R. With a focus on Bioinformatics, but relevant to all biological datasets. It is suitable for students with no prior knowledge of bioinformatics or R.
Timetable
This option is assigned to block S2-B. There is 6 hours of teaching on Tuesdays, for the first 6 weeks.
Co-requisites
None.
Assessment
The course will be assessed by a Portfolio, which consists of the three parts (100%).
Course Aims
The course will offer practical application of data analysis and visualisation in omic datasets with a focus on exploratory analysis and generation of plots and figures in R.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ Demonstrate best practice of coding in R, with particular focus on the manipulation of omic data files through statistical analysis, transformations, and plot generation;
■ Critically explore and communicate omic datasets using established bioinformatic visualisation techniques;
■ Critically interpret omic data results in terms of their biological meaning with reference to the experimental design.