Computational Methods for Single-cell Biology

What it is about

In this module you will learn modern computational methods for the analysis of single-cell data and apply them practically. After lectures on important topics in single-cell biology and data analysis, you will work eight weeks in an ICB laboratory on a concrete project to gain practical experience.

What you will be able to do

• Describe single-cell RNA sequencing and its applications
• Describe single-cell epigenome sequencing and immune profiling
• Describe single-cell imaging techniques and data types
• Apply standard preprocessing (normalization, batch-effect correction) and quality control
• Apply methods for dimensionality reduction, clustering, pseudotemporal ordering, visualization and differential analyses
• Describe the concept of spatial transcriptomics
• Apply deep learning methods for feature extraction and image classification
• Identify biomedical applications and select appropriate algorithms
• Carry out a small single-cell research project with real data

What the module consists of

• VorlesungenVermittlung der state-of-the-art computational Ansätze in der Einzelzellanalyse (sechs Vorlesungen zu speziellen Themen)
• Projektarbeit (8 Wochen)praktische Anwendung der Vorlesungsinhalte in einem ICB-Labor mit Betreuung

Teaching method

• VorlesungenIntroduction to the current methods and concepts
• Projektarbeit mit wöchentlichen SupervisionenApplication of concepts to real data, supervision, feedback and development of project competencies
• Abschlusspräsentation und schriftlicher BerichtCommunication and documentation of the project results