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270110 PR Laboratory Course: Analysis of Large Datasets of "omics"-type Experiments (2018W)
Continuous assessment of course work
Labels
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).
- Registration is open from Sa 01.09.2018 08:00 to Tu 25.09.2018 23:59
- Deregistration possible until Tu 25.09.2018 23:59
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