Course code BIN315

BIN315 Selected Topics in Functional Genomics

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Showing course contents for the educational year starting in 2017 .

Course responsible: Torgeir Rhodén Hvidsten
Teachers: Lars Gustav Snipen
ECTS credits: 10
Department: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: EN, NO
(NO=norsk, EN=Engelsk)
Limits of class size:
50
Teaching exam periods:
Fall term
Course frequency: Even years
First time: 2014H
Preferential right:

M-BIAS

M-KB

Course contents:

The course will cover bioinformatics analysis of "omics" data; transcriptomics, proteomics and metabolomics. It complements the course BIN310 that will cover bioinformatics analysis of biological sequences.

There will be weekly lectures and supervised exercises in the computer lab. The lectures will primarily introduce the students to the theory behind the bioinformatics methods while the labs will show the students how the methods can be used in practice.

Learning outcome:

On completion of this course, the students should have a general understanding of the different "omics"-technologies (transcriptomics, proteomics and metabolomics) and be able to use different methods for preprocessing of "omics" data. The students should have obtained an understanding of the theory behind the most common bioinformatics methods for "omics" analysis, be able to analyze "omics" data using these methods and be capable of understanding and interpreting the results produced.

Methods include finding differentially expressed genes and gene sets, machine learning, clustering and network analysis, and methods for integrating "omics" data and biological knowledge in e.g. ontologies. Given a data set and a biological question, the students should be able to asses which methods and tools to use in order to answer the question.

Learning activities:
One lecture per week (two hours). Two supervised computer lab per week (four hours). One project assignment with written report and/or oral presentation.
Teaching support:
Active use of Canvas.
Syllabus:
Will be specified at the beginning of the course.
Prerequisites:
Introduction to bioinformatics equivalent to BIN210.
Statistics equivalent to STAT100.
Recommended prerequisites:
Programming and Statistics beyond the introductory level.
Mandatory activity:
There will be one project assignment where the students will present their findings in a written report and/or an oral presentation.
Assessment:
Written exam, 3.5 hrs.
Nominal workload:

Lectures: 20 hours

Computer labs: 56 hours

Individual study: 224 hours

Type of course:

1 lecture per week (two hours).

2 supervised computer lab per week (four hours). 

Examiner:
The exam will be approved by an external examiner. 25 selected exam papers will be evaluated by the external examiner.
Allowed examination aids: No calculator, no other aids
Examination details: One written exam: A - E / Ikke bestått

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