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300362 UE Applied Data Analysis (2021S)
Continuous assessment of course work
Labels
ON-SITE
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 Th 11.02.2021 08:00 to Th 25.02.2021 18:00
- Deregistration possible until We 31.03.2021 18:00
Details
max. 15 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Dear students,
Due to the uncertainty of the teaching situation in the summer semester we will have (likely) an online get-together on Wednesday March 17th at 3pm. We will then confirm 10 days, likely in April after Easter) of the course to take place either online (like last year) or, hopefully and more fun, in-person!
- Tuesday 13.04. 09:00 - 17:00 Übungsraum 2
- Wednesday 14.04. 09:00 - 12:00 Übungsraum 3
- Wednesday 14.04. 12:00 - 17:00 Übungsraum 4
- Thursday 15.04. 09:00 - 17:00 Übungsraum 2
- Friday 16.04. 09:00 - 13:00 Übungsraum 2
- Friday 16.04. 13:00 - 17:00 Übungsraum 4
- Tuesday 20.04. 09:00 - 17:00 Übungsraum 2
- Wednesday 21.04. 09:00 - 12:00 Übungsraum 3
- Wednesday 21.04. 12:00 - 17:00 Übungsraum 4
- Thursday 22.04. 09:00 - 17:00 Übungsraum 2
- Friday 23.04. 09:00 - 13:00 Übungsraum 2
- Friday 23.04. 13:00 - 17:00 Übungsraum 4
- Tuesday 27.04. 09:00 - 17:00 Übungsraum 2
- Wednesday 28.04. 12:00 - 17:00 Übungsraum 4
- Thursday 29.04. 09:00 - 17:00 Übungsraum 3
- Friday 30.04. 09:00 - 12:00 Übungsraum 3
- Friday 30.04. 13:00 - 17:00 Übungsraum 4
- Tuesday 04.05. 09:00 - 12:00 Übungsraum 3
- Tuesday 04.05. 13:00 - 17:00 Übungsraum 4
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, assembly, 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
There are 10 days of the course. Presence on at least 8 days is required. The grade will be based on course participation (20%) and the final report in a form of a scientific paper outlining the aims and analyses completed during the course, as well as potential future directions (80%).
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.
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. Attendance and participation are also graded.
Reading list
Association in the course directory
MES6, MMEI III, MGE III-2, MMB W-2, MMB W-3, M-WZB
Last modified: Sa 22.10.2022 00:30