Universität Wien FIND

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270110 PR Laboratory Course: Analysis of Large Datasets of "omics"-type Experiments (2018W)

3.00 ECTS (3.00 SWS), SPL 27 - Chemie
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 serve).

Details

max. 12 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

1. Kurs: 15.-19.10.2018
2. Kurs: 22.-29.10.2018
ANWESENHEITSPFLICHT FÜR DIE TEILNEHMER BEIDER KURSE AM
15.10.2018; 10:00 bis 12:00 Seminarraum der Physik, Sensengasse 8, EG
Theorieteil für BEIDE KURSE 15.10. 10-12 Uhr Seminarraum der Physik, Sensengasse 8, EG und Di. 16.10.10-12 Uhr SEM 4
Bei Nicht Erscheinen rücken die Teilnehmer auf der Warteliste vor!
Es wird eindringlich empfohlen, die Wahlfachpraktika "Proteinanalytik" und "Massenspektrometrie in der Bioanalytik" sowie die Vorlesungen "Massenspektrometrie" und "Bioinformatische Auswertungsstrategien" VOR dem Wahlfachpraktikum "Analyse großer Datensätze von "omics"-typ Experimenten" zu absolvieren.

Tuesday 16.10. 10:00 - 12:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42

Information

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

Learn to make use of software packages for data processing and interpretation of omics data.

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: Mo 07.09.2020 15:41