Advanced Post-Processing Techniques for Electron Microscopy Data

Advanced Post-Processing Techniques for Electron Microscopy Data (e.g., quantitative analysis of extracellular vesicles (EVs) and lipid droplets (LDs), and data annotation for machine learning integra

Wie sich Blutgefäße in der Schwangerschaft anpassen

Während der Schwangerschaft durchläuft das Herz-Kreislauf-System der Frau tiefgreifende funktionelle und strukturelle Anpassungen. Diese Veränderungen sichern die Versorgung von Fötus und Plazenta, st

R course for users with menu based statistical software skills

R is a statistical program that can be used interactively to explore data or used as a programming language to implement complex data analyses. It is extensible via libraries and covers a high variety

Survival and categorical data analysis in SPSS for life sciences

The aim of the first part in this course is to describe various methods used for modeling and evaluating survival data, also called time-to-event data. General statistical concepts and methods discuss

Data management

In this workshop critical concepts and practical methods to support planning, collection and dissemination of data in clinical and medical research are presented. Participants learn how to structure t

Introduction to Python

This course provides an introduction to Python programming for beginners. It covers the basics of Python syntax, data types, control structures, functions, and modules. Students will learn to write si

Introduction into Proteomics

Proteomics denotes the experimental analysis of proteins and proteomes, mostly determined via mass spectrometry. The output often relies first on a well thought experimental design. Secondly on a samp

Using SLURM on MedBioNode for parallel computing

Slurm is an open-source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters. It provides three key functions: allocating exclusive and/

Short introduction to Linux and command line data analysis

Most tasks of bioinformatics are processed using the Linux operating system (OS). Therefore, familiarity with and understanding of basic Linux command lines is essential for bioinformatics analysis. T

16s rRNA microbiome data analysis in Galaxy

16s rRNA microbiome profiling is very popular method for quantitative bacterial characterization of different samples. Tools for the data analysis are already good established and they can be used in