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 basic bioinformatics techniques. More advanced techniques will be introduced through examples, with emphasis on algorithmic, computational and numerical aspects.

COURSE DESCRIPTION AND SYLLABUS:
pairwise alignment, substitution matrices; pairwise alignment algorithms; hidden Markov models, Viterbi algorithm and variants; forward, backward algorithm, Baum-Welch optimization; phylogenetic trees, Neighbour - joining algorithm

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.

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