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Bioinformatics for Molecular Biology

This is the wiki for the courses MBV-INF4410, MBV-INF9410, and MBV-INF9410A offered by the Department of Molecular Biosciences and Department of Informatics at the University of Oslo (UiO).

The course consists of two weeks of lectures, a final take-home exam (one week) and an essay (10 to 20 pages) to be completed by the middle of December.

Ph.D. level students may opt to take the course without the essay for only 8 study points (MBV-INF9410A).

Please bookmark this page. All future changes or announcements for the 2012 course will be posted on this page.

Time and place

The course will be offered in weeks 47 and 48, autumn 2012, i.e. November 19 - November 30. Each day, Monday to Friday, will consist of three time slots for lectures and/or exercises/practical labs between 09:00 and 16:00. Lunch will usually be between 12:45 and 13:30. You will have to bring your own lunch or buy lunch in the local kantine. 

Lecture room: All lectures/exercises in week 47 will be given in lecture room Python in Ole-Johan Dahls hus (IFI2). A map showing the location of the building is found here. The building is located next to the Forskningsparken metro and tram stations. The room Python is on the 1st floor (2. etasje) in the northern end of the building, the end closest to the tram line. The easist access to Python is through the entrance in the tunnel going through the building. The lecture room for week 48 will be announced later.     

Course description

This two week, intensive course will introduce students to bioinformatics resources and tools for molecular biology research. All the lectureres are among the top researchers working within the fields of bioinformatics and computational biology in the Oslo region. Students must bring their own lap-top for in-course demonstrations as well as for practical lab exercises. The course is mainly intended for biology students, but also for computer science students or students from other fields of science with an interest for and some experience with molecular biology. No prior background in bioinformatics or computer science is required. All students should have a basic understanding of molecular biology, at least roughly corresponding to a single semester course in molecular biology or biochemistry.

Links to the webpages for the years 2009-2011 is found here. The cource will in 2012 have a similar format as previous years, but with some few changes.

  • New course responsible is Dr. Jon K. Lærdahl (jonkl@medisin.uio.no) from Centre for Molecular Biology and Neuroscience (CMBN) and Department of Medical Microbiology, Oslo University Hospital (OUH) - Rikshospitalet. Lærdahl is also employed by the Bioinformatics Core Facility at OUH and UiO.
  • There will be some lectures focusing on the UNIX shell, scripting and the Python programming language.
  • Examination (home exam) and written assignment will be in a similar format as previous years.  

Contacts

Jon K. Lærdahl (Course coordinator) - e-mail: jonkl@medisin.uio.no, phone: +47 99 507 335

Torill Rørtveit (Course administrator, registration) - e-mail: torill.rortveit@imbv.uio.no

Programme

The schedule below is tentative, and may be changed prior to, and possibly even during, the course. Requests and suggestions are welcome.  

Week 1: Monday, November 19 - Friday, November 23 
Session 1 Session 2 Session 3
09:00 - 10:45 11:00 - 12:45 13:30 - 16:00
Monday 19th

Introduction

Biological databases on the web

Accessing data 

Basic UNIX tutorial with practicals

Simple examples of scripting

Jon K. Lærdahl Jon K. Lærdahl Jon K. Lærdahl
Tuesday 20th

Basic Python programming

Python workshop Python workshop
Karin Lagesen Karin Lagesen Karin Lagesen
Wednesday 21st

Genome browser and

Galaxy

- lectures/exercises

Introduction to statistical inference and multiple hypothesis testing - lecture

Galaxy, workflows, reproducability, HyperBrowser

- lectures/exercises

Jon K. Lærdahl Clara-Cecilie Günter Geir Kjetil Sandve
Thursday 22nd

Exploratory data analysis

- lecture

Introduction to R and R-lab R-lab
Anja Bråthern Kristoffersen Anja Bråthern Kristoffersen Anja Bråthern Kristoffersen
Friday 23rd

High throughput sequencing

- lecture

High throughput sequencing lab High throughput sequencing lab
Robert Lyle Robert Lyle Robert Lyle
Week 2: Monday, November 26 - Friday, November 30
Session 1 Session 2 Session 3
09:00 - 10:45 11:00 - 12:45 13:30 - 16:00
Monday 26th Microarrays - lecture Microarrays - practicals

Gene lists & over-representation analysis (ORA)

- lectures/practicals

Ståle Nygård Ståle Nygård Karin Lagesen
Tuesday 27th

Sequence searching, alignments, and multiple alignments

- lecture

Working with sequences

- exercises

Working with sequences

- exercises

Torbjørn Rognes Torbjørn Rognes Torbjørn Rognes
Wednesday 28th JalView

Structural biology review

- lecture

Structural biology tools, predictors & 3D modelling

- lecture

Jon K Lærdahl Jon K Lærdahl Jon K Lærdahl
Thursday 29th Working with PyMOL 3D modlling guide Modelling exercise
Jon K Lærdahl Jon K Lærdahl Jon K Lærdahl
Friday 30th Modelling exercise Docking and drug discovery Docking and drug discovery
Jon K Lærdahl Jon K Lærdahl Jon K Lærdahl

Exam

The exam for this course will be a one week, take-home exam.

More details will be given later.

Written assignment