Elements of Bioinformatics

Syventävät opinnot
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.
Vuosi Lukukausi Päivämäärä Periodi Kieli Vastuuhenkilö
2010 syksy 01.11-10.12. 2-2 Englanti


Aika Huone Luennoija Päivämäärä
Ma 12-14 B222 Veli Mäkinen 01.11.2010-10.12.2010
To 10-12 B222 Veli Mäkinen 01.11.2010-10.12.2010
Ti 14-16 B221 Veli Mäkinen 02.11.2010-02.11.2010
To 10-12 B221 Veli Mäkinen 11.11.2010-11.11.2010
Ma 12-14 B221 Ilari Scheinin 15.11.2010-15.11.2010
Ti 16-18 B222 Veli Mäkinen 07.12.2010-07.12.2010


Group: 1
Aika Huone Ohjaaja Päivämäärä Huomioitavaa
Ti 14-16 BK107 Markus Heinonen 09.11.2010—09.11.2010
Group: 2
Aika Huone Ohjaaja Päivämäärä Huomioitavaa
To 8-10 B222 Esa Pitkänen 11.11.2010—11.11.2010
Ti 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).


Kurssin suorittaminen

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.

Kirjallisuus ja materiaali

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: