Course code BIN310

BIN310 Selected Topics in Genome Analysis

There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.

Norsk emneinformasjon

Search for other courses here

Showing course contents for the educational year 2018 - 2019 .

Course responsible: Lars Gustav Snipen
Teachers: Lars Gustav Snipen
ECTS credits: 10
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: EN, NO
(NO=norsk, EN=Engelsk)
Limits of class size:
Teaching exam periods:
This course starts in Autumn parallel. This course has teaching/evaluation in Autumn parallel.
Course frequency: Odd years
First time: 2006V
Course contents:
Modern sequencing technology, shotgun and amplicon sequencing. Assembly of genomes and metagenomes. Analyses based on whole-genome data. Metagenome studies and analyses of microbial communities. Most topics will be related to microbiology although methods will have a more general nature.
Learning outcome:

KNOWLEDGE: Explain the use of various sequencing technologies and know how to get from reads to more informative sequences. Be able to sketch a selection of assembly algorithms. Have a good theoretical understanding of comparison and classification of sequences. Know some common statistical methods for association studies and use these on real data.

SKILLS: Students will be able to: Apply elements from the topics above to solve a project assignment in the course. Implementing the algorithms in R and use this scripting language for effective processing of large data sets. Present material both orally and in a written report.

Learning activities:
Two lectures weekly. Two to four hours supervised solving of problems in the computer lab weekly. These classes can to some degree be used for ad-hoc lectures on topics of special interest, if requested by the students. Oral presentation of written report.
Teaching support:
Active use of Canvas.
Will be specified at the beginning of the course.
Introduction to bioinformatics equivalent to BIN210. Statistics equivalent to STAT100.
Recommended prerequisites:
Programming and Statistics beyond the introductory level. 
Mandatory activity:
A written report on a topic announced at the start of the course. Oral presentation of the report.
Written exam, 3.5 hrs, counts 100%
Nominal workload:
Lectures: 26 hours. Exercises with instructor present: 44 hours. Individual study: 230 hours.
Entrance requirements:
Special requirements in Science
Type of course:
Lectures: 2 hours per week. Computer lab exercises: 4 hours per week.
Students must bring their own laptop to computer-labs.
The exam will be approved by an external examiner. 25 selected exam papers will be evaluated by the external examiner.
Examination details: :