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551-1296-00L 4 Credits BSC , MSC D-CHAB , D-PHYS , D-MAVT , D-BIOL , D-MATH , D-HEST , D-ITET

Bioinformatics: in-depth

Bioinformatik: Vertiefung

Lecturers: Prof. em. Dr. Gaston H. Gonnet, Prof. Dr. Andrew Barbour, Dr. Gina Michelle Cannarozzi-Bossard, Prof. Dr. Jörg Stelling
Examiners: Prof. em. Dr. Gaston H. Gonnet, Dr. Gina Michelle Cannarozzi-Bossard
VVZ CR n/a

Last Updated: 2026-02-05 15:29:46

Abstract

Study of mathematical methods and algorithms in bioinformatics: Topics: Probability and statistics (prerequisites, statistical estimation, Markov chains, evolutionary models, sequence alignment), Hidden Markov models (Viterbi algorithm), Bayesian networks (principles, network inference), sequence alignment and phylogenetic trees (evolutionary relations, multiple sequence alignment, tree building).

Objective

Fundamentals of computer science, modelling of biological data, algorithms in bioinformatics

General Information

Language
English
Levels
BSC , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
oral 15 minutes

Course Components

Type Title Time & Place Hours
lecture with exercise Bioinformatik: Vertiefung
**Kurs an der Uni Zürich** Lehrveranstaltungsnummer: 2918 und 2919 Vorlesung: 15-17 Übungen: 17-19
  • Wed 15:00-17:00 (Y35 F 32)
  • Wed 17:15-19:00 (Y35 F 32)
3 h weekly

Offered In