252-0523-00L  Computational Biology

SemesterAutumn Semester 2014
LecturersG. H. Gonnet
Periodicityyearly recurring course
Language of instructionEnglish

Catalogue data

AbstractStudy of computational techniques, algorithms and data structures used to solve problems in computational biology. Topics: basic biology, string alignment, phylogeny (distance, character, parsimony), molecular evolution, multiple sequence alignment, probabilistic and statistical models, Markov models, microarrays, dynamic programming, maximum likelihood and specialized DNA and protein analysis.
ObjectiveFamiliarize the students with the basic concepts of molecular biology and the models and algorithms used to understand, classify and predict behaviour of living organism. This course is at the most basic level, where the main issues, mostly of molecular sequences, are studied.
ContentThis course lies in the intersection between Computer Science and Molecular Biology. The main purpose is to study computational techniques, algorithms and data structures which are usually applied to solve problems in Molecular Biology and Biochemistry.
The following topics are likely to be covered: Introduction, mathematical models of evolution, protein and DNA sequence alignment and its meaning, phylogenetic tree construction, multiple sequence alignments, secondary structure prediction, molecular dynamics, threading, role of bioinformatics in drug design, etc. From the computer science point of view we concentrate our attention in practical solutions for the above problems. Biological knowledge is an asset but not a prerequisite.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersG. H. Gonnet
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examinationwritten 180 minutes
Written aidsKeine Hilfsmittel erlaubt, ausser 2 doppelseitige, persönlich von Hand geschriebene A4-Blätter.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

Main linkInformation
Only public learning materials are listed.


252-0523-00 VComputational Biology3 hrs
Wed13-14CAB G 52 »
Fri13-15CAB G 52 »
G. H. Gonnet
252-0523-00 UComputational Biology2 hrs
Thu14-16CAB H 56 »
G. H. Gonnet


No information on groups available.


There are no additional restrictions for the registration.

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