Special-topic Lecture Bioinformatics: Processing of Biological Data WS 21/22

Tutors:

Markus Hollander, Trang Do Hoang Thu; Sudarshini Thangamurugan

Lecture:

Tuesday, 10:15 am - 11:45 am, planned to take place in presence, building E2 1, room 001

First lecture: October 19th, 2021;

Students intending to take this course should send an e-mail to kerstin.gronow-p@bioinformatik.uni-saarland.de
so that they can be registered as participants. This is NO exam registration.

Tutorial:

Thursday, 4:15 pm - 5:45 pm, E2 1, room 007, biweekly, starting on November 18th, 2021

Next Tutorial: December 2nd, online in MS Teams

Exam:

to be announced

Information:

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. 

Schein/Certification:

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; written final exam -> oral exam

Leistungspunkte/Credits:

5 (2 V + 1 Ü)

Language

This course is taught in English language.

Lectures:

 

Lecture 1, October 19 pdf ppt
Lecture 2, October 26 pdf ppt Assignment 1

Supplement

Lecture, November 2 cancelled
Lecture 3, November 9 pdf ppt Assignment 2
Supplement 2
Lecture 4, November 16 pdf ppt
Lecture 5, November 23 pdf ppt
Lecture 6, November 30 pdf ppt Assignment 3
Supplement 3
Tutorial 2, December 2nd online in MS Teams
Lecture 7, December 7 pdf ppt
Lecture 8, December 14 pdf
Lecture 9, January 4 pdf
Lecture 10, January 11 pdf
Lecture 11, January 18 pdf
Lecture 12, January 25 pdf
Lecture 13, February 1 pdf
Lecture 14, February 8 pdf