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 moreWe are excited to announce that GHGA will be presenting a tutorial on NGS Workflow Harmonization at the upcoming German Conference for Bioinformatics on September 30, 2024.
Learn moreWhy are metadata important for research and data analysis? Which genomic data portals are out there and what do we need from them? How do we make our research data FAIR?
Learn moreZornitza Stark and Sebastian Lunke from the Victorian Clinical Genetics Services will talk about "Integrated multi-omics for rapid rare disease diagnosis on a national scale" at the GHGA lecture series. Watch it now!
Learn moreSarah Teichmann from the Wellcome Sanger Institute talked about "(Machine) learnings for the Human Cell Atlas" at the GHGA lecture series. Watch it now!
Learn moreJoin us for a practical introduction to biological data visualisation using R and Bioconductor.
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