Bioinformatics course

Bioinformatics at the University of Oslo

Bioinformatics xxx: A course in bioinformatics for molecular biology (8.0 credit points)

The aim of the course is to introduce students to bioinformatics resources and tools for molecular biology research by having some of the best researchers in Norway to talk about their field in general and then present their own data. Students are encouraged to bring a lap-top; we will be set up for in-course demonstrations as well as practical lab excercises. The course is intended for biology students. No prior background in bioinformatics or computer science is required.

Please bookmark this page. All future changes or announcements for the 2009 course will be posted to this page.

Registration is not yet open.

Information: ian.donaldson@biotek.uio.no

Registration: ragni.indahl@biotek.uio.no

Dates and times

The course is provisionally set to occur in weeks 37 and 38 (September 7th and 14th).

Each day will consist of three time slots for lectures and/or practical labs between 9 AM and 4 PM.

Place

Forskningsparken

Mondays to Thursdays: Room 10

Fridays: Room 7

Exceptions: none so far

Lunch is on your own between 1:00 PM and 2:15 PM (except 15th and 22nd: 11:00 AM to 12:30). Please completely vacate the room during these lunch times.

Programme

Please note: The displayed programme is a preliminary schedule under development. Changes are possible.

Bioinformatics 2009

Time	Speaker	Contact	Details and suggested readings
Day 1 - Monday
9.00-9.15	Ian Donaldson	ian.donaldson at biotek.uio.no	Introduction
9.15-11.00			Statistics I
11:15-13.00
14.15-16.00
Day 2 - Tuesday
9.15-11.00			Statistics II
11:15-13.00
14.15-16.00
Day 3 -Wednesday
9.15-11.00	Torbjørn Rognes	torognes at ifi.uio.no	Sequence alignments and BLASTing
11:15-13.00	Robert Lyle		High throughput sequencing
14.15-16.00	Anja K, Karin Lagesen or Geir K. Sandve?		Phylogeny or sequence profiles (TBD)
Day 4 - Thursday
9.15-11.00	Dave W. Ussery		Comparative genomics
11:15-13.00	Dave W. Ussery		Comparative genomics lab
14.15-16.00	Dave W. Ussery		Comparative genomics lab
Day 5 - Friday
9.15-11.00			Microarrays
11:15-13.00
14.15-16.00
Day 6 - Monday
9.15-11.00	Bjørn Dalhus		Structural biology review and PyMOL (TBC)
11:15-13.00	Jon K. Laerdahl		Structural bioinformatics tools, predictors, and 3D modeling (TBC)
14.15-16.00	Dalhus and Laerdahl		Structural tutorials and exercises (TBC)
Day 7 - Tuesday
9.15-11.00			Interactions, Complexes and Pathways
11:15-13.00
14.15-16.00
Day 8 - Wednesday
9.15-11.00	Stig Omholt		Causally cohesive genotype-phenotype modelling for understanding complex traits (TBC)
11:15-13.00			Multivariate analysis of genetic data illustrated on yeast and human data (TBC)
14.15-16.00			Methods for genome-wide association studies on high-dimensional phenotypic data (TBC)
Day 9 - Thursday
9.15-12.00	Other ideas: Student presentations, Programming (Python, Taverna, R), Machine learning, BioPortal, EMBNet, Genome browser, text mining and PubGene, SIMULA and modelling
Day 10 - Friday
9.15-12.00	Open lab and study session
Day 10 - Monday
9.15-13.15	Exam (4 hour written open book)