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300362 UE Applied data analysis (2017S)
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 Mo 22.05.2017 08:00 to Mo 05.06.2017 18:00
- Deregistration possible until Mo 05.06.2017 18:00
Details
max. 30 participants
Language: English
Lecturers
Classes
Organizational meeting will take place June 20th 2017, 02.00 p.m., 1090 Vienna, Althanstraße 14, UZA I, room 2.208 (1.OG) Übungsraum 6. The course will commence in July for 2 weeks of half-day lecturing and supervised project work/discussion. The exact dates will be determined at the organizational meeting.
Information
Aims, contents and method of the course
In this course we will learn about modern high-throughput methodologies and get hands-on experience with new methods and real data. We will discuss sequencing technology, experiment design, quality control, read mapping and counting, differential expression analysis, expression profiles and principal components analysis.
Assessment and permitted materials
Exercises will be done throughout the course as a part of a collective analysis.
Minimum requirements and assessment criteria
Students are recommended but not required to take 300353 UE Applied programming for Bioinformatics, or have a basic grounding in Unix and BASH shell scripting.
Examination topics
A final report describing the methods used as well as an analysis of the data will be required after completion of the course.
Reading list
Association in the course directory
MES6, MMEI III, MGE III-2, MMB W-2, MMB W-3, M-WZB
Last modified: Mo 07.09.2020 15:43