Processing of Biological Data WS 2025/26

Overview

Tutors
Hanah Robertson, Debarshee Sengupta, Emadeldin Mohamed Ibrahim
Semester
WS 2025/26
Type
Special-Topic Lecture Bioinformatics
Language
English
Credit Points
5
Lecture
Tuesdays

10:15 am – 11:45 am,
building E2 1, room 007,
starting on October 14th

Tutorial

biweekly, first tutorial: tba

Exam
To be announced
Re-Exam

To be announced

Information

Please send an email to Kerstin Gronow-Pudelek if you want to be added to the MS Teams group of the course.

This course can be used as a “Spezialvorlesung der Bioinformatik/Special-topic Lecture Bioinformatics”.

Requirements

Intermediate programming skills in Python

Content

  • clustering of data
  • principal component analysis
  • differential expression analysis
  • removal and correction of data outliers; prediction of missing values
  • processing of proteomics data; imputation of missing values
  • peak assignment
  • shape detection
  • functional annotation
  • protein structure data (Protein DataBank); thermal mobility; titration states; hydration sites; PDBcheck
  • molecular dynamics simulations; time correlation of snapshots
  • multi-variate analysis
  • analysis of multi-dimensional data; data integration

Conditions for Certification

Students need to pass the final exam.

There will be about six bi-weekly graded assignments and tutorial sessions. Students need to get at least 50% of the points from the assignments to be admitted to the final exam. 

Certification (Schein)

Students need to pass the final exam that will be scheduled near the end of the winter semester or the re-exam that will be scheduled at the beginning of the following summer semester.

Lectures

Lectures take place on Tuesdays from 10:15 am to 11:45 am in building E2.1 room 001. The lecture slides are available in the Microsoft Teams group in the “General” channel under “Files”.

Lecture 1
Tue, October 14
Lecture 2
Tue, October 21
Lecture 3
Tue, October 28
Lecture 4
Tue, November 4
Lecture 5
Tue, November 11
Lecture 6
Tue, November 18
Lecture 7
Tue, November 25
Lecture 8
Tue, December 2
Lecture 9
Tue, December 9
Lecture 10
Tue, December 16
Lecture 11
Tue, January 6
Lecture 12
Tue, January 13
Lecture 13
Tue, January 20
Lecture 14
Tue, January 27
Lecture
Tue, February 3

Tutorials

Biweekly, to be announced

Tutorial 1
to be announced
Tutorial 2
to be announced
Tutorial 3
to be announced
Tutorial 4
to be announced
Tutorial 5
to be announced
Tutorial 6
to be announced