Universität Wien FIND

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To enable a smooth and safe start into the semester for all members of the University of Vienna, you can get vaccinated without prior appointment on the Campus of the University of Vienna from Saturday, 18 September, until Monday, 20 September. More information: https://www.univie.ac.at/en/about-us/further-information/coronavirus/.

Warning! The directory is not yet complete and will be amended until the beginning of the term.

050083 VU Introduction to Bioinformatics (2018W)

Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).


max. 50 participants
Language: German, English



DO wtl von 04.10.2018 bis 31.01.2019 10.00-12.00 Ort: Seminarraum 1+2, 6. Stock, Dr. Bohr-Gasse 9, 1030 Wien


Aims, contents and method of the course

The course provides a broad overview over methods and applications from the fields of bioinformatics: exakt string matching, pairwise sequence alignment, multiple sequence alignment, sequence database searching, probability of sequences , Hidden Markov Models (HMMs), moleculare structuren, phylogenie, high throughput sequencing, genome assembly, read mapping and genome analysis.

Various Parts of this course will be held in English.
For up-to-date information about the course please also consult the Moodle page of the course.

Assessment and permitted materials

The grading of course will be as follows:
At the begin of each class there will be a short test about the topics of the preceding class. For each test the same number of points can be gained. To pass the course you have to gain at least 50% of the total number of achievable points.
There are no materials permitted during the tests.

Due to the weekly tests, attendance is compulsory.

Minimum requirements and assessment criteria

>= 87,5% sehr gut (1)
>= 75% gut (2)
>= 62,5% befriedigend (3)
>= 50% genügend (4)
< 50% nicht genügend (5)

Examination topics

Subject to the tests are all contents covered in the classes.

Reading list

Association in the course directory

Module: BNI MN-02

Last modified: Tu 02.10.2018 14:07