Organizers: Jan Grau (MLU Halle); Stefan Kurtz (Universität Hamburg); Kay Nieselt (Eberhard Karls Universität Tübingen); Sven Rahmann (Universität des Saarlandes, Saarbrücken); Ralf Zimmer (Ludwig-Maximilians-Universität München)
Participants: max. 30
Description: This workshop shall bring together people involved in bioinformatics education. Currently, bioinformatik.de lists 38 B.Sc. programs with prominent bioinformatics contents (14 with bioinformatics as major topic) and 35 M.Sc. programs (17 bioinformatics major) in Germany. These programs put varying emphasis on certain bioinformatics topics and skills, and have different access requirements. In previous workshops during GCB 2023 and GCB 2024, we collected an overview of bioinformatics B.Sc. and M.Sc. programs in Germany and discussed essential, dispensable and desirable topics in bioinformatics B.Sc. programs as summarized in a workshop synopsis. This year, we would like to follow up on the results of the previous workshop(s) to yield common standards of a B.Sc. bioinformatics. These shall serve as a guideline when developing new or updating existing B.Sc. bioinformatics programs. Such a guideline might – in the long run – play a similar role as the recommendations for Computer Science B.Sc. programs of GI and “Fakultätentag Informatik”. Specifically, we would like to discuss
Target audience: Persons involved in bioinformatics education on the study program development and/or implementation level, as well as student representatives.
Provisional schedule:
WS2) Leveraging Cloud Computing for Bioinformatics: A SimpleVM Workshop Featuring a Metagenomics Use Case
Organizers: Peter Belmann(1), David Weinholz(1), Viktor Rudko(1), Qiqi Mok(1)
(1) IBG-5: Computational Metagenomics, Institute of Bio- and Geosciences (IBG), Research Center Jülich GmbH, Germany
Participants: max. 30
Participants must command Linux basics and be registered at de.NBI cloud (https://cloud.denbi.de/wiki/registration/#denbi-cloud-access-registration-guide). If you have any questions, please contact
Description: SimpleVM is a self-service platform within the OpenStack-based de.NBI Cloud, designed to simplify access to computational resources for life sciences research. It offers a variety of computational options, including basic data processing, GPU-accelerated machine learning, and cluster computing, all secured by an intrusion prevention system (IPS). SimpleVM also provides pre-configured Virtual Research Environments (VREs) accessible via web browsers or SSH, encompassing integrated development environments (IDEs) and data notebooks.
In this workshop, participants will delve into a metagenomics use case, where they will learn how to scale their analysis using SimpleVM. The workshop is designed to provide both theoretical knowledge and hands-on experience with cloud computing and the advanced features of SimpleVM. Participants will use VREs, SimpleVM Cluster and S3 to search for a genome of interest in the metagenome SRA mirror of the de.NBI Cloud site Bielefeld.
This workshop is tailored for researchers and educators seeking to optimize their computational tasks. Whether you’re a seasoned professional or just starting out, SimpleVM’s intuitive platform and robust features will empower you to achieve more in less time. The only requirement is a basic knowledge of the Linux command line and a de.NBI Cloud account ().
Provisional Schedule:
WS3) From a Collection of Scripts to a Pipeline – Writing Nextflow Workflows with nf-core Best Practices
Organizers: Mark Polster, Famke Bäuerle & Sven Nahnsen (University of Tuebingen)
Participants: max. 20 - participants must bring their own laptops
Description: Bioinformatics analyses often begin as a set of scattered scripts, but scaling them into reproducible and maintainable workflows can be challenging. In this hands-on workshop we aim to guide you through transforming your scripts into a robust Nextflow pipeline using nf-core components and best practices.
We will cover essential topics such as pipeline structuring, version control, and best practices for collaboration and reproducibility. Whether you’re new to Nextflow or looking to refine your workflow development skills, this workshop will provide practical insights and hands-on experience to help you understand and utilize the nf-core framework for your own research.
Provisional schedule:
WS4) Datavzrd: Low-Code, Maintenance-Free Visualization and Communication of Tabular Data
Organizers: Johannes Köster (Bioinformatics and Computational Oncology, University of Duisburg-Essen); Felix Wiegand (Bioinformatics and Computational Oncology, University of Duisburg-Essen)
Participants: max. 30 Participants must bring their own laptop and and should bring their own tabular data for the hands-on session.
Description: Tabular data is central to scientific analysis, but effectively communicating and visualizing it can be a challenge. In this hands-on workshop, we introduce Datavzrd, a low-code tool that enables the creation of interactive, portable reports from tabular data without the need for specialized software or server maintenance. Participants will receive an introduction to the core features of Datavzrd, followed by a step-by-step tutorial on how to use the tool for their own data. Attendees are encouraged to bring their own analysis or research data to configure a report tailored to their needs. This session aims to empower both computational and non-computational researchers to easily create and share interactive data visualizations that scale from small tables to large datasets.
Provisional schedule:
WS5) Mastering GHGA: From Metadata Preparation to Secure Data Access
Organizer: Fritzi Maike Brück (DKFZ); Vanessa González Ribao (DKFZ); Anandhi Iyappan (EMBL); Julia Leimeister (University of Tübingen); Ulrike Träger (DKFZ)
Participants: max. 40
Description: As the volume of genomic and omics data continues to grow, the need for efficient and standardized data access, sharing, and submission processes has become critical. The German Human Genome-Phenome Archive (GHGA) provides a secure and GDPR-compliant infrastructure for storing and accessing omics data while ensuring adherence to FAIR (Findable, Accessible, Interoperable, and Reusable) principles. This workshop will guide participants through the key functionalities of the GHGA Data Portal, including browsing and searching for datasets, requesting access, adhering to best-practice data access guidelines, and preparing data for submission with a focus on legal, ethical, and metadata requirements.
Participants will gain hands-on experience with GHGA’s interface, develop an understanding of the principles governing data access, management and sharing in compliance with regulatory frameworks, and learn how to prepare and submit data efficiently. At the end of the workshop they will be able to confidently use GHGA for accessing and sharing data while ensuring legal and ethical compliance and to recognize the value of well-structured metadata in making data discoverable and reusable. This workshop is designed for researchers, data managers, and students who are looking to optimize their interaction with the GHGA Data Portal.
Provisional schedule:
WS6) Computational Pangenomics
Organizers: Tizian Schulz (Bielefeld University); Jens Stoye (Bielefeld University); Andreas Rempel (Bielefeld University); Luca Parmigiani (Bielefeld University); Roland Wittler (Bielefeld University)
Participants: max. 20
Participants should have a basic understanding of Linux operating systems to participate in hands-on sessions of the workshop and must bring their own laptop.
Description: Computational pangenomics deals with the joint analysis of all genomic sequences of a species. Further advances in DNA sequencing technologies constantly let more and more genomic sequences become available for many species, leading to an increasing attractiveness of pangenomic studies. Pangenomics approaches have already been successfully applied to various tasks in many research areas.
The focus of this workshop is to give participants an overview and understanding of commonly used pangenomics tools. Besides an introduction into the motivation and theory behind questions from the field of pangenomics, we will look at specific tools (such as panacus, Corer, and SANS) and let the participants explore their usage in hands-on sessions.
Provisional schedule:
WS7) Automated metabolic modelling: Building, analysing and simulating genome-scale metabolic models in Python
Organizers: Carolin Brune (MLU); Gwendolyn O. Döbel (MLU); Prof. Dr. Andreas Dräger (MLU)
Participants: max. 30
Description: Systems biology seeks to understand organisms by modelling them as context-specific systems. One such system, the metabolic network, can be reconstructed using constrained-based modelling techniques. These models contain mathematical principles that simulate cellular behaviour, such as growth, under defined environmental conditions using flux balance analysis. These models are powerful tools to explore and test multiple hypotheses in silico – accelerating research into new drug targets, antibiotics, or biotechnological production strains while saving time and resources.
However, the reconstruction and curation of genome-scale metabolic models involves numerous well-characterised steps, many of which remain challenging to automate reliably.
In this tutorial, participants will be introduced to the principles of genome-scale metabolic modelling and guided through the model curation process using the open-source toolbox refineGEMs. Building on this, the workflow collection SPECIMEN will be used to demonstrate how these steps can be automated to generate higher-quality models with drastically reduced manual effort. The session includes hands-on experiences and practical examples, enabling attendees to directly apply the tools to their research or learn about this type of modelling in general.
Provisional schedule:
1. Session part (09:00 - 11:00 am)
WS8) Spatial domain identification: computational methods for discovering tissue architecture
Organizers: Robin Khatri (University Medical Center Hamburg-Eppendorf)
Participants: max. 15
The workshop requires previous introduction to single-cell and/or spatial transcriptomics. Participants should be comfortable programming in Python for basic tasks. Attendees must bring their own laptops.
Description: This workshop will focus on computational approaches for identifying and characterizing spatial domains in single-cell spatial transcriptomics (ST) data. Spatial domains are tissue regions that share similar features, such as similar gene expression profiles and cell type abundances. For analysis of ST data, it is generally necessary to identify these domains to understand their dynamics under different tissue conditions, such as between healthy and disease states.
As ST data is increasingly used in research due to the benefit of in-situ identification of transcripts and cells, several computational approaches for spatial domain identification have been developed. In this workshop, participants will learn methods for unsupervised detection of spatial domains with distinct molecular signatures and understand techniques for biological interpretation of spatial domains along with associated caveats. Through hands-on tutorials, participants will learn about and apply state-of-the-art domain identification algorithms to real spatial transcriptomics datasets.
Github link for materials:
Please check the link below one week before the workshop. https://github.com/robinredX/spatial-workshop-GCB-2025
Provisional schedule:
