Elements of Bioinformatics

Advanced studies
This course gives an introduction to central topics in bioinformatics, including prediction of genes and their function, protein classification and structure analysis as well as biological network analysis.
Year Semester Date Period Language In charge
2010 autumn 01.11-10.12. 2-2 English


Time Room Lecturer Date
Mon 12-14 B222 Veli Mäkinen 01.11.2010-10.12.2010
Thu 10-12 B222 Veli Mäkinen 01.11.2010-10.12.2010
Tue 14-16 B221 Veli Mäkinen 02.11.2010-02.11.2010
Thu 10-12 B221 Veli Mäkinen 11.11.2010-11.11.2010
Mon 12-14 B221 Ilari Scheinin 15.11.2010-15.11.2010
Tue 16-18 B222 Veli Mäkinen 07.12.2010-07.12.2010

Exercise groups

Group: 1
Time Room Instructor Date Observe
Tue 14-16 BK107 Markus Heinonen 09.11.2010—09.11.2010
Group: 2
Time Room Instructor Date Observe
Thu 8-10 B222 Esa Pitkänen 11.11.2010—11.11.2010
Tue 16-18 C222 Esa Pitkänen 15.11.2010—10.12.2010

Registration for this course starts on Tuesday 12th of October at 9.00.

Information for international students

Course will be given in English.




This course gives an introduction to the central topics in bioinformatics, and gives a foundation for further courses in the Master"s Degree Programme in Bioinformatics (MBI).

First period course Molecules for Bioinformatics is strongly recommended to be taken before this course (unless with earlier biology & practical bioinformatics background). Also first period courses Markovian modeling and Bayesian learning, and Algorithms for Bioinformatics are recommended (unless with strong statistics or computer science background before, respectively).


Completing the course

Active participation to lectures and exercises is recommended.

There will be an exam giving 60 points at the maximum. Active participation to exercises gives maximum 6 extra points (25%->1p,37.5%->2p,50%->3p,62.5%->4p,75%->5p,87.5%->6p). The grading is then based on the total points achieved.

Literature and material

Course book: Richard C. Deonier, Simon Tavare & Michael S. Waterman: Computational Genome Analysis - An Introduction (Springer, 2005).
Some material will also follow the books: Neil C. Jones & Pavel A. Pevzner: An Introduction to Bioinformatics Algorithms (MIT Press, 2004), and
R. Durbin, S. Eddy, A. Krogh, and G. Mitchison: Biological sequence analysis - probabilistic models of proteins and nucleid acids (Cambridge University Press, 1998).

Course content: