1. komponenta

Lecture type	Total
Lectures	45

* Load is given in academic hour (1 academic hour = 45 minutes)

COURSE AIMS AND OBJECTIVES: Students will be introduced to the theoretical background of basic bioinformatics techniques. More advanced methods will be introduced through examples

COURSE DESCRIPTION AND SYLLABUS:
probabilistic models in molecular biology, extreme value theory; statistical analysis of biological sequences and families of sequences; BLAST algorithm, hidden Markov models; simulated annealing (SA) and expectation maximization algorithm (EM)

1. Biological sequence analysis, R. Durbin et al., CUP, 2001.
2. Introduction to Computational Biology: Maps, Sequences and Genomes, M. S. Waterman, Chapman & Hall, 1995.
3. Statistical Methods in Bioinformatics, W. J. Ewens, G. R. Grant, Springer Verlag, 2001.

Enrollment :
Attended : Bioinformatics 1

Examination :
Passed : Bioinformatics 1

Ostali izborni predmeti - Regular study - Computer Science and Mathematics
Vezani kolegiji A - Regular study - Computer Science and Mathematics

Ostali izborni predmeti - Regular study - Computer Science and Mathematics
Vezani kolegiji A - Regular study - Computer Science and Mathematics

Ostali izborni predmeti - Regular study - Computer Science and Mathematics
Vezani kolegiji A - Regular study - Computer Science and Mathematics

Ostali izborni predmeti - Regular study - Computer Science and Mathematics
Vezani kolegiji A - Regular study - Computer Science and Mathematics