On this page we share the latest Events, both posted by us and our Partners.
Mark your calendars for 03-05 November 2026 in Heidelberg! GHGA spokespersons, team members, and our Scientific Advisory Board will come together to celebrate achievements, share updates, and plan future work.
Learn moreHow do polygenic risk scores change the way we approach genetic discrimination? At the GHGA Annual Meeting 2026, Prof. Bartha Knoppers explores the ethical and societal challenges of an increasingly genomic future.
Learn moreJoin the next de.NBI and GHGA webinar to discover how GHGA’s production-level bioinformatics workflows, DROP and Spotlight, analyze multi-omics data to drive rare disease genomic discoveries.
Learn moreDataPLANT hosts the NFDI4LifeScience Conference in conjunction with the International Symposium on Integrative Bioinformatics from 2 – 4 September 2026 at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) in Gatersleben.
Learn moreOrganised by de.NBI & ELIXIR-DE, the BioHackathon Germany brings together life scientists, bioinformaticians, and data stewards for an intensive week of collaborative hacking - covering FAIR, identifiers, metadata standards, ontologies and metadata catalogues.
Learn moreJoin us at when the DKFZ opens its doors to the public for a debate on the use of genomic data for research. This lively format will give everyone the chance to explore data sharing from impact to data protection.
Learn moreDiscover the hidden history of genetic discrimination. Join us to learn about the implications for research and policy, and how we can work towards a more equitable future.
Learn moreAnthony Brookes from the University of Leicester talked about "Research Asset Discovery in Large European Networks" at the GHGA lecture series. Watch it now!
Learn moreGuests are welcome! GHGA will hold a public symposium on 15 October 2024 in Heidelberg, as part of the GHGA Annual Meeting 2024.
Learn moreWe are pleased to announce that registration for the GHGA Annual Meeting 2024 is now open.
Learn moreJoin us to discover how a large Nanopore Long-Read Genome Sequencing (LR-GS) dataset can revolutionise rare diseases diagnostics
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