Join us for the Gatersleben Research Conference Series, an annual gathering of leading minds in plant research and life sciences. This year, from September 10–12, 2025, we are excited to host the „International Symposium on Integrative Bioinformatics“ at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) in Gatersleben. Read more about IPK!.

This esteemed symposium serves as a dynamic platform for bioinformaticians, computer scientists, life science researchers, and interdisciplinary professionals to explore the latest advancements and applications in integrative bioinformatics. Engage in thought-provoking discussions, share groundbreaking research, and network with international experts. Download our flyer!

We invite researchers at all career stages to submit abstracts for oral or poster presentations at GRC-IB2025. This symposium provides an excellent opportunity to present original work and engage with an international network of experts in integrative bioinformatics, plant science, and computational biology.

ABSTRACT SUBMISSIONS

Deadline for abstract submission is
May 30th, 2025

PRESENTATION NOTIFICATION

Notification of acceptance on 
July 4th 2025

REGISTRATION

Deadline for early bird registration is May 30th, 2025

Authors of outstanding contributions will be invited to submit a full manuscript to the Journal of Integrative Bioinformatics (JIB) for inclusion in a dedicated GRC-IB2025 special issue. These publications will be free of charge, offering valuable visibility within the research community. Invitations and submission guidelines will be provided by the Programme Committee following abstract evaluation.

We particularly encourage early career scientists to contribute and benefit from this platform to share novel ideas and foster academic dialogue.

TOPICS OF INTEREST

DATA ENGINEERING

• Laboratory information management systems (LIMS) 
• ELectronic Lab Notebooks (ELN) 
• Data repositories
• Data Commons
• Virtual Research Environments (VRE)

DATA MANAGEMENT AND
INTEGRATION CONCEPTS

• FAIR data principles and Open Research Data (ORD) 
• FAIR digital objects and APIs 
• Data compliance challenges and solutions 
• Democratized research data frameworks 
• Data linkage, cleaning, and curation 
• Ontologies Semantic 
• Web approaches Cross-omics research platforms

DATA STEWARDSHIP

• Data stewardship governance models, implementations and experiences
• Data steward training and communities of practice 
• Training and community engagement – best practices, experiences

DATA SCIENCE, 
VISUALIZATION, 
AND ANALYTICS

• Computational infrastructure, scalable data storage and compute environment 
• Automated high-throughput computational workflows 
• cloud computing 
• Knowledge graphs and large language models (LLM) 
• Generative AI approaches 
• Integrative modelling and simulation frameworks 
• Tool integration and workflow systems

REFERENCE DATA SETS 
AND USE CASES

• Digital Twins and PID networks 
• Best practice for data life cycle 
• Data flows and processes in practice 
• Big Integrated Data Sets