Join us to discover how a large Nanopore Long-Read Genome Sequencing (LR-GS) dataset can revolutionise rare diseases diagnostics

We are pleased to announce that registration for the GHGA Annual Meeting 2024 is now open.

Guests are welcome! GHGA will hold a public symposium on 15 October 2024 in Heidelberg, as part of the GHGA Annual Meeting 2024.

Anthony Brookes from the University of Leicester will talk about "Research Asset Discovery in Large European Networks" at the GHGA lecture series. Register now!

Kyle Farh from Illumina will talk about "How do you train genomics AI?" at the GHGA lecture series. Register now!

Enabling closer collaboration, we are pleased to announce the first NFDI BioMed Workshop in Heidelberg bringing together NFDI4Bioimage, NFDI4Health, NFDI4Immuno, NFDI4Microbiota and GHGA.

Gerrit Meijer from the Netherlands Cancer Institute will talk at the GHGA lecture series. Register now!

The 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.

Michael Baudis from the University of Zurich talked about "Federated genomic discoveries: Deploying the GA4GH Beacon protocol". Watch it now!

Join us for the nf-core hackathon in Heidelberg. GHGA is pleased to host the local hub event to connect the community and spending three days hacking all things nf-core.

Join us for a practical introduction to Data Visualisation using R and Python.

Ruth Horn from the University Augsburg talked about „Ethical and social implications of public-private partnerships in the context of genomic/big health data collection". Watch it now!

Join us for this event hosted by GHGA as part of the Assured project, a modular training program for secure data use, in collaboration with GESIS - Leibniz Institute for the Social Sciences and LMU Munich.

Join us for an introductory webinar on Data Visualisation and learn how to effectively communicate your scientific results through graphics.