Date: 13 & 14 Oct. 2025 in Neuherberg / Munich
Venue:
Helmholtz Center Munich
HDR (Building 3620) (→ campus map)
Ingolstädter Landstr. 1
85764 Neuherberg
Public transport:
Bus lines 294 and 295 stop directly in front of the campus at Helmholtz-Zentrum.
You absolutely need the image from the shared website (Sara's mail) on your mobile device and show it to the gatekeeper for quick access.
➚ Register
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
Audience: Stem cell biologists (PhD students, Postdocs, Research associates) working with single-cell genomics data. Participants need to bring their own laptop.
● Beginners: first steps into single-cell data, little to no coding experience. ○ Min / max number of participants: 7 / 12
● Advanced: have already had hands-on data and some coding experience, ideally in Python. ○ Min / max number of participants: 7 / 12
The workshop duration is 1.5 days, and it will provide preliminary materials, including 1h of technical troubleshooting prior to the workshop to assist participants in setting up their programming environment and resources to enable them to begin programming in Python.
Learning objectives:
● 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.
● Gain hands-on experience with advanced analysis techniques such as trajectory inference, batch-effect correction, cell cell communication and spatial analysis.
● Develop skills to interpret single-cell data in the context of stem cell biology.
The workshop will balance theoretical principles with interactive coding sessions, ensuring that participants at all experience levels can confidently apply scverse tools to their own single-cell datasets.
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
We will have 1h of technical troubleshooting to set up the working environments from 11:00 - 12:00.
| 13:00 - 13.15 |
Introduction |
| 13:15 - 14:00 |
Commun lecture on:
Basic pre-processing of single-cell RNA-seq data
Interpretive analysis using pydeseq2 |
| 14:00 - 15:00 |
Coding practice and troubleshooting session
Group A (Advanced) - room: TBD
Group B (Beginners) - room: TBD |
| 15:00 - 15:30 |
Coffee break |
| 15:30 - 16:15 |
Commun lecture on:
Batch correction
Trajectory analysis |
| 16:15 - 18:00 |
Coding practice and troubleshooting session
Group A (Advanced) - room: TBD
Group B (Beginners) - room: TBD |
Second day
| 09:00 - 10:00 |
Commun lecture on:
Ligand-receptor interactions
Differential cellular abundance |
| 10:00 - 10:30 |
Coffee break |
| 10:30 - 12:00 |
Spatial data pre-processing and analysis |
| 14:45 - 16:15* |
Coding practice and troubleshooting session
Group A (Advanced) - room: TBD
Group B (Beginners) - room: TBD |
| 12:00 - 13:00 |
Lunch |
| 13:00 - 14:00 |
Commun lecture on:
Introduction to spatial transcriptomics
Spatial data |
| 14:00 - 15:00 |
Coding practice and troubleshooting session
Group A (Advanced) - room: TBD
Group B (Beginners) - room: TBD |
| 15:00 - 15:30 |
Coffee break |
| 15:30 - 16:30 |
Commun lecture on:
Spatially aware clustering
Niche detection |
| 16:30 - 18:00 |
Coding practice and troubleshooting session
Group A (Advanced) - room: TBD
Group B (Beginners) - room: TBD |