PhD Programs

Datenanalyse und Bioinformatik mit R, deutsch (Sommer)

K. Jung

Wed 17.04.24 - Wed 17.07.24, 16:15 - 17:45

- Introduction to R programming; data structures and data processing in R
- statistical methods for the analysis of scientific experiments (statistical testing, regression, analysis of variance, correlation analysis)
- basics of bioinformatics (sequence alignment, phylogenetics, analysis of molecular high-throughput data from microarray and NGS experiments, normalization, visualization multiple testing, gene-set enrichment machine learning, artificial neurla networks)


- Einführung in die R-Programmierung, Datenstrukturen & Datenprozessierung in R
- Statistische Verfahren für die Auswertung naturwissenschaftlicher Experimente (Statistisches Testen, Regressions- und Varianzanalytische Verfahren, Korrelationsanalyse),
- Grundlagen der Bioinformatik in R (Sequenzalignment, Phylogenetische Analysen, Analyse molekularer Hochdurchsatzdaten aus Microarray- oder Sequencing-Experimenten, Normalisierung, Visualisierung, Multiples Testen, Gene-set Enrichment Analysen, Maschinelles Lernen)

Individual lab course

Lecturers of the HGNI

To be announced

This course aims to provide hands-on learning in labs with focus on specific state-of-the-art techniques that are relevant or of individual interest for the PhD student. Experienced lecturers and scientists provide the benefits of live, in-person training. Extensive training is provided by the labs.
This course thereby also stimulates cooperations among scientists between different HGNI-institutions or cooperating labs.

The students gain experience on specific state-of-the-art techniques, which are relevant for infection research. The course includes
? background knowledge about the principles of the technique
? practical hands-on-training including trouble shooting
? user examples on scientific application of the respective technique

Workgroup seminar and journal club

K. Jung and Research Staff

Wed 17.04.24 - Wed 17.07.24, 13:00 - 14:00

Presentation and discussions on the following topics:
* analysis pipelines for NGS data
* analysis pipelines for high-dimensional expression data
* machine learning approaches
* software presentations
* status reports of PhD projects
* presentation of new literature/publications

Metzger

Wed 15.05.24, 14:15 - 15:45

This course will provide basic knowledge of NGS- from bench to computer work. After a thorough introduction, specific questions can be discussed.