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Workshop "Establishing a knowledge graph community in biomedical science"

Workshop Information

Date: 15-19.06.2026
Place: Heidelberg, Im Neuenheimer Feld 205

Background

Many modern biomedical methods benefit from the availability of prior knowledge, for example about genes, proteins, or diseases. Knowledge graphs, i.e., representations of prior knowledge in machine-readable graph form, have become the quasi-standard for storing, manipulating, and sharing biomedical prior knowledge. To meet the needs of broad user communities in generating knowledge graphs, we have developed BioCypher, a modular framework for the creation of knowledge graphs based on ontologies, targeting single cell and spatial omics, microbiomics, metabolomics, and various multi-omics modelling and machine learning methods.

In this workshop, we will learn about knowledge representations, knowledge graphs, ontologies, and data structures, and put this knowledge to practical use with BioCypher. The workshop will also contain a module on information fusion, leveraging OntoWeaver to combine data from different sources and joining this information into one single graph. Further, we will learn how to utilize generative AI to upscale to more complex projects.

Workshop Aim

Learn how to create knowledge graphs from your data and import them into a graph database for further studies.

Research Topics

  • Knowledge graphs
  • Biomedical science
  • Ontologies
  • Knowledge extraction
  • Information fusion
  • Agentic automation

Workshop program

Time Session
09:15-10:45 Sebastian Lobentanzer (Helmholtz Munich), "The BioCypher ecosystem: Democratizing knowledge graphs"
Steffen Vogler (Bayer AG, Berlin), "Knowledge management with BioCroissant and agentic automation"
coffee break
11:00-12:30 hands-on session: "Knowledge graphs and BioCypher"
lunch break
13:30-15:00 hands-on session: "Knowledge graphs and BioCypher"
coffee break
15:15-16:45 hands-on session: "Knowledge graphs and BioCypher"

Time Session
09:15-10:45 Jan Baumbach (University of Hamburg, online), "Network Medicine GPT - A knowledge-graph based transformer for drug repurposing and disease module mining"
Johann Dreo (Institut Pasteur, Paris), "Explainable AI against Cancer - OntoWeaver's driving use-case"
coffee break
11:00-12:30 hands-on session: "Hands-on OntoWeaver" (Johann Dreo)
lunch break
13:30-15:00 hands-on session: "Adapters in BioCypher"
coffee break
15:15-16:45 hands-on session: "BioCypher MCP"

Time Session
09:15-10:45 Carl Herrmann (Heidelberg University), "Strategies for building domain specific knowledge for single-cell genomics"
Judith Wodke (University Medicine Greifswald), "MeDaX-KG: The bioMedical Data eXploration Knowledge Graph"
Alberto Santos Delgado (Technical University of Denmark, Copenhagen), "Unlocking Disease Mechanisms via Microbial Graph Analysis"
coffee break
11:00-12:30 hands-on session: "Agentic API in BioCypher"
lunch break
13:30-15:00 hands-on session: "Harmonizing biomedical data"
coffee break
15:15-16:45 hands-on session: "Harmonizing biomedical data"

Time Session
09:15-10:45 Tunca Dogan (Hacettepe University, Ankara), "Knowledge Graphs as AI-Ready Substrates: Integrating Heterogeneous Biomedical Data for Scalable Discovery and Reasoning"
Claire Laudy (ISIF & Institut Pasteur, Paris), "What is high-level information fusion, and why is it important?"
coffee break
11:00-12:30 hands-on session: "OntoWeaver's fusion module (Johann Dreo)"
lunch break
13:30-15:00 hands-on session: "Building Adapters in BioCypher"
coffee break
15:15-16:45 hands-on session: "AI-supported open-source software development"

Time Session
09:15-10:45 Workshop Highlights
Contributing to BioCypher on GitHub
coffee break
11:00-12:30 Quantify participant achievements, feedback and workshop closing

Workshop speakers

  • Jan Baumbach, University of Hamburg, Germany
  • Alberto Santos Delgado, Technical University of Denmark, Copenhagen, Denmark
  • Tunca Dogan, Hacettepe University, Ankara, Turkey
  • Johann Dreo, Institut Pasteur, Paris, France
  • Carl Herrmann, Heidelberg University, Heidelberg, Germany
  • Claire Laudy, ISIF & Institut Pasteur, Paris, France
  • Sebastian Lobentanzer, Helmholtz Munich, Germany
  • Steffen Vogler, Bayer AG, Berlin, Germany
  • Judith Wodke, University Medicine Greifswald, Germany

Prerequisites

Requirements

Familiarity with ontologies and/or knowledge graphs and/or Python is helpful. You need to bring a laptop with a working Python installation and an IDE such as VSCode.

Registration

Registration closes on May 15th, 2026 at 11:59PM CET. Travel awards will be announced by May 22nd, 2026.

Register for the Workshop

Financial support

This workshop would not be possible without funding through the German Science Foundation DFG through project number 528753569. We gratefully acknowledge sponsorship from the International Society for Information Fusion (ISIF).

Funding through DFG Sponsored by ISIF