392213 Data Structures in Bioinformatics (S) (WiSe 2014/2015)

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The efficiency of bioinformatics software is intrasically related to the data structures they use. In addition to enabling the data storage, data structures present some specificities, making each of them more suited to run specific analyses than the others. An example would be a sequence aligner which will favor a data structure very time efficient for locating occurences of a subsequence in a dataset, instead of good index compression ratio.
In this seminar, students will have to read articles about bioinformatics software and give a talk about it.
During the talk, the student should present the software with a main focus on the data data structure used, explain the workflow of it and how the software exploits the specificities of the data structure.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 16-18 U10-146 06.10.2014-06.02.2015

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Subject assignments

Module Course Requirements  
39-Inf-AB Algorithmen der Bioinformatik Algorithmische Implementierung Study requirement
Student information
Ausgewähltes Seminar zu Algorithmen der Bioinformatik Study requirement
Student information
39-Inf-SAB Spezielle Algorithmen der Bioinformatik Algorithmische Implementierung Study requirement
Student information
Ausgewähltes Seminar zu Spezielle Algorithmen der Bioinformatik 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.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Bioinformatik und Genomforschung / Bachelor (Enrollment until SoSe 2011) Spezielle Algorithmen; Angewandte Algorithmik Pflicht 4. 4 benotet  
Informatik / Bachelor (Enrollment until SoSe 2011) Nebenfach Angewandte Algorithmik Wahlpflicht 6. 4 scheinfähig benotet/unbenotet  
Naturwissenschaftliche Informatik / Bachelor (Enrollment until SoSe 2011) Angewandte Algorithmik Wahlpflicht 6. 4 benotet  
Naturwissenschaftliche Informatik / Diplom (Enrollment until SoSe 2004) allgem.HS   HS
Naturwissenschaftliche Informatik / Master (Enrollment until SoSe 2012) Angewandte Algorithmik Wahlpflicht 2. 4 benotet  
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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Thursday, October 22, 2015 
Last update rooms:
Friday, August 22, 2014 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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50404514