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Bioinformatics 1

Code: 92942
ECTS: 5.0
Lecturers in charge: doc. dr. sc. Pavle Goldstein
English level:

1,0,0

All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.
Load:

1. komponenta

Lecture typeTotal
Lectures 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
COURSE AIMS AND OBJECTIVES: Students will be introduced to basic modelling techniques in bioinformatics. More advanced techniques will be introduced through examples, with the emphasis on practical aspects of the process - algorithmic, computational and numerical.

COURSE DESCRIPTION AND SYLLABUS:
1. Introduction. Biological sequences and pairwise alignment. Substitution matrices. Algorithms for pairwise alignment. Markov models
2. Hidden Markov models. Viterbi algorithm and variants. Forward, backward algorithm, family profile
3. Baum-Welch optimisation. Introduction to phylogenetic trees. Neighbour-joining algorithm
Literature:
1. semester
Izborni predmet 1, 2, 3 - Regular study - Mathematical Statistics

2. semester Not active
Izborni predmet 1, 2, 3 - Regular study - Mathematical Statistics

3. semester
Izborni predmeti 5, 6, 7 - Regular study - Mathematical Statistics

4. semester Not active
Izborni predmeti 5, 6, 7 - Regular study - Mathematical Statistics
Consultations schedule: