More information as fixed dates and registration will come soon.

Date: October 2025 in Neu Herberg / Munich

Venue:
Helmholtz Center Munich

➚ Register

Audience: Stem cell biologists (PhD students, Postdocs, Research associates) working with single-cell genomics data. 
Beginners (Group B): first steps into single-cell data, little to no coding experience
Advanced (Group A): have already had hands-on data and some coding experience, ideally in Python. 
Goal: This workshop aims to equip stem cell biologists with a comprehensive introduction to computational single-cell genomics, focusing on data analysis using software from the scverse ecosystem. Designed for both beginners and advanced users, the workshop will provide hands-on experience with key tools for processing and analyzing multiple single-cell data modalities, including:
Single-cell RNA sequencing (scRNA-seq) 
Spatial transcriptomics
Single-cell ATAC sequencing (scATAC-seq) (for advanced attendees only)

The workshop will provide preliminary materials including online consulting sessions to assist beginners set up their programming environment and resources to enable them to begin programming in Python. By the end of the workshop, participants will:

Understand the fundamental concepts of single-cell data analysis.
Learn best practices for preprocessing, quality control, clustering, visualization, and others using tools like scanpy, squidpy and muon.
​Gain hands-on experience with advanced analysis techniques such as trajectory inference, batch-effect correction, multi-omics data integration, and spatial analysis. Develop skills to interpret single-cell data in the context of stem cell biology.

The last day will give participants the opportunity to apply their new skills on either their own data or curated mini-projects with the guidance of the trainers.The workshop (syllabus below) will be preceded by optional preliminary help sessions. The help sessions are intended to encourage participants who are new to programming and wish to get a head-start. Interested participants will be able to contact one of the presenters (through Zulip or Zoom) regarding any preliminary materials or issues with software installations.

Fee (just for the course, no hotel, no dinner, no travel reimbursement included): 
regular non-member  - 320 €
regular member          - 260 €
student non-member - 260 €
student member         - 210 €

Register ➚ here

Program (Syllabus):
First day

Second day

Date: 7 - 9 April 2025 in Berlin

Venue:
Rahel Hirsch Center
Luisenstraße 65
10117 Berlin

➚ Register

Audience: Stem cell biologists (PhD students, Postdocs, Research associates) working with single-cell genomics data. 
Beginners (Group B): first steps into single-cell data, little to no coding experience
Advanced (Group A): have already had hands-on data and some coding experience, ideally in Python. 
Goal: This workshop aims to equip stem cell biologists with a comprehensive introduction to computational single-cell genomics, focusing on data analysis using software from the scverse ecosystem. Designed for both beginners and advanced users, the workshop will provide hands-on experience with key tools for processing and analyzing multiple single-cell data modalities, including:
Single-cell RNA sequencing (scRNA-seq) 
Spatial transcriptomics
Single-cell ATAC sequencing (scATAC-seq) (for advanced attendees only)

The workshop will provide preliminary materials including online consulting sessions to assist beginners set up their programming environment and resources to enable them to begin programming in Python. By the end of the workshop, participants will:

Understand the fundamental concepts of single-cell data analysis.
Learn best practices for preprocessing, quality control, clustering, visualization, and others using tools like scanpy, squidpy and muon.
​Gain hands-on experience with advanced analysis techniques such as trajectory inference, batch-effect correction, multi-omics data integration, and spatial analysis. Develop skills to interpret single-cell data in the context of stem cell biology.

The last day will give participants the opportunity to apply their new skills on either their own data or curated mini-projects with the guidance of the trainers.The workshop (syllabus below) will be preceded by optional preliminary help sessions. The help sessions are intended to encourage participants who are new to programming and wish to get a head-start. Interested participants will be able to contact one of the presenters (through Zulip or Zoom) regarding any preliminary materials or issues with software installations.

Fee (just for the course, no hotel, no dinner, no travel reimbursement included): 
regular non-member  - 320 €
regular member          - 260 €
student non-member - 260 €
student member         - 210 €

Register ➚ here

Program (Syllabus):
Monday, 07 April 2025

Tuesday, 08 April 2025

GSCN Workshop on Computational Biology

The workshop introduced computational single cell genomics for stem cell biologists usig the programms R and Python.

"The idea of the workshop is great, and I appreciated a lot its program and the single cell analysis aspects that were discussed during that. Many thanks to Sara and her brilliant explanations, it was really enjoyable." (anonymous participant, online survey)

GSCN workshop
New developments in disease modeling and drug discovery

Date: 16 & 17 Nov. 2023

Venue: LIFE & BRAIN, Bonn, Venusberg-Campus 1, building 76, 53127 Bonn, Germany

This two-day workshop brought together experts from stem cell-based disease modeling and drug development and address the latest developments in this rapidly expanding field.
The event featured expert talks from academia and pharma, moderated discussion rounds and short project vignettes by the workshop participants. 
Topics that have been addressed ranged from biological and infrastructural prerequisites for stem cell-based drug discovery to strategic issues such as proper placement of stem cell tools in the pharmaceutical value chain. 
We had a focused and highly interactive event on the beautiful Bonn Medical Campus!

Speaker list:

• Oliver Brüstle (University Hospital Bonn)
• Jan Eickhoff (LDC Dortmund)
• Manuel Grundmann (Bayer AG, Wuppertal)
• Karl-Ludwig Laugwitz (TU Munich)
• Sandra Lubitz (Evotec AG, Hamburg)
• Florian Meier (Boehringer Ingelheim)
• Jutta Meyer (Bayer AG, Wuppertal)
• Ole Pless (Fraunhofer ITMP Hamburg, Discovery Research Screening Port)
• Henrik Renner (Evotec AG, Hamburg)
• Harald Stachelscheid (BIH/Charité Berlin)
• Johannes Wilbertz (Ksilink Strabourg, France)

Flyer ↓ here

Program:

Thursday, 16 November 2023

Friday, 17 November 2023