Universität Wien
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301590 VU Fundamental Bioinformatics (2024W)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

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).

Details

max. 130 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

see german version

  • Monday 07.10. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 14.10. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 21.10. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 28.10. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 04.11. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 11.11. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 18.11. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 25.11. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 02.12. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 09.12. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 16.12. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 13.01. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9
  • Monday 27.01. 08:00 - 13:00 Hörsaal 31 Hauptgebäude, 1.Stock, Stiege 9

Information

Aims, contents and method of the course

Introduction to basic bioinformatical algorithms, in particular sequence
analysis methods.
sequence similarity; dynamic programming; alignment algorithms
(Needleman-Wunsch, Smith-Waterman, Gotoh, BLAST and FASTA);
multiple alignments; clustering and phylogeny reconstruction; RNA secondary
structures.
Course material: Lecture notes
Grading: Home assignments and tests

Assessment and permitted materials

Home assignments and 2 written tests
Permitted materials for tests: Calculator

Minimum requirements and assessment criteria

Understanding basic algorithms for sequence analysis as well as selected
algorithms for phylogeny reconstruction and structure prediction.
Assessment: Weighted average of grades on home assignments and tests

Examination topics

Content of lectures and slides

Reading list

See moodle

Association in the course directory

BMB 7, BMG 7

Last modified: Fr 04.10.2024 00:02