Universität Wien FIND

270010 PR Laboratory Course: Analysis of Large Datasets of "omics"-type Experiments (2021W)

3.00 ECTS (3.00 SWS), SPL 27 - Chemie
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. 12 participants
Language: German


Classes (iCal) - next class is marked with N

Kurs I: 18. 10. 2021 - 25. 10. 2021
Kurs II: 27. 10. 2021 - 02. 11. 2021
Die Anwesenheit am Mo., den 18.10.2021, 10-12h, bei der ersten Einheit des Praktikums (vor Ort im SR3) zu Vorbesprechung, Einteilung, sowie Theorieteil I ist für die Teilnehmer*innen beider Kurse verpflichtend. Generell muss die Anwesenheit während des Praktikums zu 90% erfüllt sein. Theorieteil II für die Teilnehmer*innen beider Kurse findet am Mi., den 20.10.2021, 10h45-12h45h im SR2 statt.

Monday 18.10. 10:00 - 12:00 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1
Wednesday 20.10. 10:45 - 12:45 Seminarraum 2 Währinger Straße 38 Dekanat 1. Stock


Aims, contents and method of the course

Large data-sets from high-throughput analysis methods cannot be interpreted manually but need to be processed automatically using accurate and reliable algorithms performed by appropriate software-packages. Here some commonly used software-packages applied for proteomics, transcriptomics and lipidomics will be presented in detail. Furthermore, algorithms supporting data interpretation will be presented.

Assessment and permitted materials

Performance is monitored during the practical course (interest, cooperation), and is furthermore determined on the basis of the quality of the delivered protocol and the acquired knowledge (determined in the closing meeting).

Minimum requirements and assessment criteria

Students need positive grades for each part of the performance (interest/cooperation, protocol and closing meeting regarding the acquired knowledge) in order to successfully complete the course.

Examination topics

lectures and practical computer work

Reading list

Additional literature is not required.

Association in the course directory

AN-2, BC-1, CHE II-1

Last modified: Fr 01.10.2021 11:32