Genomics: Experimental Methods
Syllabus, Bachelor's level, 1MB321
- Code
- 1MB321
- Education cycle
- First cycle
- Main field(s) of study and in-depth level
- Biology G2F, Technology G2F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 25 April 2017
- Responsible department
- Biology Education Centre
Entry requirements
60 credits within the programme Degree of Master of Science in Engineering including Structural bioinformatics and one of the courses Bioorganic chemistry or Basic chemistry.
Learning outcomes
On completion of the course, the student should be able to
- describe the function of the genome in humans and model organisms
- describe methods for studying genomes, such as microarray analysis, association study (GWAS), sequencing genomes and transcriptomes, and evaluate the results from such studies
- describe methods to modify genomes (e.g. with CRISPR) and briefly describe methods for studying proteomes and metabolome
- design strategies to experimentally address given biological and biomedical questions with methodology treated during the course, and evaluate the results of such experiments
- describe and evaluate how progress in research havs commercial and ethical consequences for society by the development of genomics, functional genomics and system biology
Content
The course discusses theories about the genome structure with focus on the human genome. How genomes, transcriptomes, proteomes and metabolomes behave and regulate each other. Genome variation and their importance for phenotype variation and diseases. Modern large-scale methods for analyses in these fields are presented, including how large-scale platforms function logistically and how the quality of the processes is guaranteed. Among the technologies that are discussed, 'inter alia sequence' is included, as well as hybridisation technology for genome and transcriptome analysis and proteome and metabolome analysis. Furthermore is discussed in which ways these technologies find and examine the importance of genome variation for diseases. It is discussed how progress in research in this field has commercial and ethical consequences for society
Instruction
The course consists of lectures and seminars. Participation in seminars is compulsory.
Assessment
Written examination (3 credits), seminars and written
assignments (2 credits).