9th Berlin Summer School in NGS Data Analysis 2025
When? June 30 - July 4, 2025
Where? Berlin, Germany
Link: www.ecseq.com/summer-school
- Learn the essential computing skills for NGS bioinformatics
- Understand NGS analysis algorithms (e.g. read alignment) and data formats
- Use bioinformatics tools for handling NGS data
- Perform first downstream analyses for studying genetic variation
- Compare different approaches for differential expression analysis
The purpose of this intense one week summer course is to get a deep understanding in Next-Generation Sequencing (NGS) with a special focus on bioinformatics issues. Advantages and disadvantages of current sequencing technologies and their implications on data analysis will be discovered. You will be trained on understanding NGS data formats and handling potential problems/errors therein. In the summer school we will use a real-life RNA-seq dataset from the current market leader illumina.
All students will be enabled to perform important first tasks of NGS data analysis themselves. The layout of the summer school has been adapted to the needs of beginners in the field of NGS bioinformatics and allows scientists with no or little background in computer science to get a first hands-on experience in this new and fast evolving research topic.
In the evenings there will be social events, like a conference dinner, or a guided city tour through Berlin. These are always great networking possibilities.
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Almost full! Apply now if you still want to take part!
First come, first served.
I would like to introduce you to our invited speakers:
Prof. Dr. Helene Kretzmer
Hasso-Plattner-Institut
Dr. Helene Kretzmer is a Professor and Chair of Computational Genomics at the Hasso Plattner Institute in Potsdam, Germany. Her research focuses on integrating multi-modal sequencing data, machine learning, and software development to bridge basic and translational research. She is particularly interested in understanding how epigenetic factors regulate early mammalian embryonic development and the epigenetic footprint of cancer.
Dr. Jan Ewald
ScaDS.AI Leipzig
Dr. Jan Ewald is a Data Scientist and Postdoctoral Researcher at Leipzig University, affiliated with the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI). His work centers on developing machine learning models for multi-omics data integration, with a focus on biologically informed neural networks to enhance both prediction accuracy and interpretability in personalized medicine.
Good news! Due to the high demand, we have enlarged the room and extended the registration deadline to 20 June!
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