392181 Bioinformatics Applications in Genome Research (Pr) (SoSe 2020)

Contents, comment

In this course, practical applications and issues in concrete problem statements and handling real data sets will be addressed. The following topics are intended: assembly, scaffolding, annotation, gene prediction, comparative analysis, etc.

Theoretical knowledge of the students shall be supplemented by practical aspects such as setting up and running existing tools, implementing small own tools, pre- and postprocessing, and critical interpretation of results. A continuously enriched visualization of the data and the obtained results will also guide through the course.

This class will be taught in German or English if needed.

Bibliography

Literature will be made available during the class in form of an online list to relevant original articles.

External comments page

https://gi.cebitec.uni-bielefeld.de/teaching/2020summer/bioappgere

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
block n. V. 09:30-17:30 (s.t.) V6-116 09.-20.03.2020

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Subject assignments

Module Course Requirements  
39-M-Inf-ABI Angewandte Bioinformatik Angewandte Bioinformatik Study requirement
Student information
39-M-Inf-AG Algorithmen in der Genomforschung Bioinformatische Anwendungen in der Genomforschung Study requirement
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


You need to have or create a CeBiTec account (this requirement will be settled at the beginning of the first class)

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Registered number: 4
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Address:
SS2020_392181@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, December 9, 2019 
Last update times:
Wednesday, January 15, 2020 
Last update rooms:
Wednesday, January 15, 2020 
Type(s) / SWS (hours per week per semester)
Pr / 4
Department
Faculty of Technology
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ID
200024467