Join us to discover how a large Nanopore Long-Read Genome Sequencing (LR-GS) dataset can revolutionise rare diseases diagnostics
Learn moreWe are pleased to announce that registration for the GHGA Annual Meeting 2024 is now open.
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 moreAnthony Brookes from the University of Leicester will talk about "Research Asset Discovery in Large European Networks" at the GHGA lecture series. Register now!
Learn moreKyle Farh from Illumina will talk about "How do you train genomics AI?" at the GHGA lecture series. Register now!
Learn moreEnabling closer collaboration, we are pleased to announce the first NFDI BioMed Workshop in Heidelberg bringing together NFDI4Bioimage, NFDI4Health, NFDI4Immuno, NFDI4Microbiota and GHGA.
Learn moreGerrit Meijer from the Netherlands Cancer Institute will talk at the GHGA lecture series. Register now!
Learn moreThe 10th e:Med Meeting on Systems Medicine in Hamburg will bring together members and other interested scientists. The topics of this year's meeting are technologies, modelling and bioinformatics approaches, diseases and systems medicine approaches in the clinic.
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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