Universität Wien

301578 VO Special Topics in Bioinformatics (2024S)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Register/Deregister for this course

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

see german version

  • Monday 04.03. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 11.03. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 18.03. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 08.04. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 15.04. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 22.04. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 29.04. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 06.05. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 13.05. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 27.05. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 03.06. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 10.06. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 17.06. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
  • Monday 24.06. 13:30 - 15:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP

Information

Aims, contents and method of the course

Probabilistic models for sequences and structures, such as hidden markov models and stochastic context-free grammars. Structure prediction methods for biopolymers such as secondary structure prediction for proteins and RNA, knowledge based potentials, fold recognition and homology modelling).

Assessment and permitted materials

Oral exam.
Due to the COVID situation exams will be held online via BigBlueButton.

Minimum requirements and assessment criteria

To obtain a positive grade, at least half of the exam questions have to be answered correctly.

Examination topics

All lecture contents

Reading list

Durbin, Eddy, Krogh, Mitchinson, "Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids"

Slides will be available on Moodle

Association in the course directory

MMB II., MMB IV., MNEU V. MMEI III, MMB W-3, MMB W-2,

Last modified: Fr 02.08.2024 15:46