BIO322 Molecular Genomics
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Showing course contents for the educational year starting in 2021 .
Course responsible: Dag Inge Våge, Marie Saitou
ECTS credits: 10
Faculty: Faculty of Biosciences
Teaching language: EN, NO
Limits of class size:
If there are fewer than 5 participants, the course will be offered as individual study with supervised project work.
Teaching exam periods:
This course starts in Autumn parallel. This course has teaching/evaluation in Autumn parallel.
Course frequency: Annually
First time: 2003H
Bioinformatics, Biotechnology, Genome Science, Animal Science, Plant Science.
The course content is the structure and regulation of complex genomes, and the technologies used to study genomes. Subjects to be covered include comparative genomics, evolutionary genomics, genetic and physical mapping of genomes, gene expression, genome regulation analysis, proteome analysis, and functional genome annotation. Learning activities include lectures, reading and presentations, and computer hands-on practice.
A candidate who has completed the course is expected to have achieved the following learning outcomes, defined in terms of knowledge, skills and general competence:
Can explain how genomic variation is generated and maintained in populations, and how variation contributes to evolution.
Can explain the basic molecular processes occurring when using key technologies for DNA and RNA sequencing, genotyping, and protein analysis.
Can explain how data generated by the above mention technologies can be applied in comparative analyses, evolutionary genomics, genetic and physical mapping of genomes, gene and protein expression, genome regulation analysis, and functional genome annotation.
Can explain how genome technologies are applied in conservation and in industry, such as ecology (e.g. biodiversity measurement), agri/aquaculture (e.g. genome-informed breeding), and medicine (e.g. generating RNA vaccines).
Can identify and reflect on ethical issues related to exploiting genomic technologies and genomic data.
Students can use online tools and databases to retrieve and analyze genomic data.
Students can describe the molecular biological, statistical and computational basis of genetic analyses and interpret analyses of genomic data.
Students can work independently and in groups to solve practical and theoretical problems, including oral presentation, data analysis, and written reports.
Students can combine information from different sources to gain new insight.
Learning activities include lectures, reading and presentations, and computer hands-on practice.
Can be found at the BIO322-Canvas pages.
BIO210/211 and/or BIO200.
Yes.The practical assignments that must be approved before the exam can be completed.
The final exam is a multiple choice test. The practical assignments must be approved before the exam can be completed.
Special requirements in Science
Reduction of credits:
Type of course:
Lectures/practicals, student presentations of review papers.
Details concerning the teaching arrangements and assessment are discussed with the external censor. The written exam is evaluated by the censor.
Allowed examination aids: A1 No calculator, no other aids
Examination details: One written exam: A - E / F