Lecturer:
Tutors:
Lecture:
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:
Re-Exam
LSF exam registration is mandatory by April 13th, 2022.
Please find the results of the re-exam of April 20th, 2022, here.
Exam:
LSF exam registration is mandatory by January 24th, 2022.
International students not physically present in Saarland can take an online exam instead. In this case, please, send an email until Thursday, January 20th, 10:00 am, to Kerstin Gronow-Pudelek.
Please find the results of the exam of January 31st here.
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:
Leistungspunkte/Credits:
5 (2 V + 1 Ü)
Language
This course is taught in English language.
Lectures:
Lecture 1, October 19 | ppt | ||
Lecture 2, October 26 | ppt | Assignment 1 | |
Lecture, November 2 | cancelled | ||
Lecture 3, November 9 | ppt | Assignment 2 Supplement 2 |
|
Lecture 4, November 16 | ppt | ||
Lecture 5, November 23 | ppt | ||
Lecture 6, November 30 | ppt | Assignment 3 Supplement 3 |
|
Tutorial 2, December 2nd | online in MS Teams | ||
Lecture 7, December 7 | ppt | ||
Lecture 8, December 14 | ppt | Assignment 4 | |
Lecture 9, January 4 | ppt | ||
Lecture 10, January 11 | ppt | Assignment 5 | |
Lecture 11, January 18 | ppt | ||
Lecture 12, January 25 |