Department of Computer Science Aarhus University Department of Comptuer Science Faculty of Science

Pattern Recognition in Bioinformatics Q3/2012

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About

Bioinformatics is about developing and applying algorithms for analysis of biological data. The amount of sequence data is growing fast, and many interesting problems are based on the analysis of large sets of sequence data. This class covers concrete algorithms for pattern recognition and discovery in sequence data based on hidden Markov models (HMMs) and stochastic context-free grammars (SCFGs), and examples of their application on biological sequences.

The participants will after the course have insight into algorithms for pattern recognition in biological sequences (DNA, RNA, and protein) and practical experience with implementation of these algorithms. The working method of the course will also train the participants to plan and complete projects and to communicate professional issues.

The participants must at the end of the course be able to:

Schedule

Lectures take place:

First lecture is on Monday, January 23.

Literature

We will use research papers and excerpts from text books which will be handed out in class or made available for download.

Exam and Projects

The final exam is an individual oral exam (20 min) which includes a presentation based on an exam question followed by a general discussion of related topics and mandatory projects. You should prepare a 10-12 minutes presentation for each exam question (you can bring your notes to the exam).

Exam questions (preliminary)

The exam curriculum is every reference listed under "Reading material" on the weekly schedule for Week 1-7, and the descriptions of the mandatory projects. The exam date is Tuesday, March 20, 2012. The exam will take place in 1111-100 at BiRC. To participate in the final oral exam each student must complete all mandatory projects.

Exam schedule (preliminary).

Lecturer

If you have any comments or questions related to the course, do not hesitate to contact one of the lectures:

Thomas Mailund

Office: 1110.326
E-mail: mailund [at] birc.au.dk

Christian Nørgaard Storm Pedersen

Office: 1110.325
E-mail: cstorm [at] birc.au.dk