PhD Programme

Datenanalyse und Bioinformatik mit R und Python, deutsch (Sommer)

K. Jung

Wed 16.04.25 - Wed 16.07.25, 14:15 - 15:45

Winter term:
- Introduction to R and Python 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)

Summer term:
- Einführung in die R- & Python-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)

(formerly Block seminar VetRes)

A. Bleich, Breves, Hiebl, Metzger, Pfarrer, Plötz, Pröhl, Postel, Raulf, Rautenschlein, Seeger, von Köckritz-Blickwede

Tue 15.04.25 - Tue 15.07.25, 13:30 - 16:00

Interdisciplinary basic science lecture series, that cover important topics of veterinary research and animal biology and includes
- Alternative methods to animal testing
- Pathogen-host interaction
- Infection immunology
- Current methods in cellular and molecular biology
- Studies in animal behaviour
- Animal testing and animal genetics
- Priciples of drug action

Students in the first year are assigned to topics selected by the faculty for further study. At the beginning of the 90 min lecture, the professor gives a 45 min introductory lecture followed by a 30 min presentation of one sudent. The seminar will end up with a 15 min discussion open to the auditorium.

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 16.04.25 - Wed 16.07.25, 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

RNA types and preparation (Part I), RNA bulk sequencing & data analysis (Part II) and Single Cell Sequencing (Part III)

Metzger and Co-workers

Wed 16.04.25 - Wed 30.04.25, 14:00 - 15:30

In this seminar we provide basic knowledge on transcriptomics. We discuss sample preparation, quality control and library preparation (part I) as well as how to sequence your libraries.
In addition, we talk about tools and methods to perform differental gene expression analyses and more.