Poster Number
38
Poster Title
The German Human Genome-Phenome Archive (GHGA) – A national infrastructure for secure archival and community-driven analysis of omics data
Authors
Jan Eufinger (DKFZ Heidelberg)
GHGA Consortium
GHGA Consortium
Abstract
The German Human Genome-Phenome Archive (GHGA) is establishing a secure and scalable national infrastructure to unlock the potential of human omics data for research. As part of the National Research Data Infrastructure Germany (NFDI) and the federated European Genome-phenome Archive (FEGA), GHGA plays a key role in a collaborative European network driving responsible human genetics research, personalized healthcare, and evidence-based health policy.
Here, we emphasize Germany’s approach to develop sustainable, cutting-edge data infrastructures that operate within a robust ethico-legal framework. This ensures that omics data is managed in a secure, data protection-compliant, and FAIR manner, balancing openness with responsibility.
Through cloud-based infrastructure at the GHGA Data Hubs, GHGA provides secure, controlled access to raw and processed sequence data, alongside standardized, GA4GH-compliant next-generation sequencing (NGS) analysis workflows. To enhance reproducibility and scalability we collaborate with the nf-core community to standardize bioinformatics workflows for data analysis, statistical evaluation, and visualization.
On the international stage, GHGA contributes to the European Genomic Data Infrastructure (GDI) project, advancing the 1+ Million Genomes initiative by ensuring seamless interoperability across borders. Domestically, GHGA supports the Model Project Genome Sequencing (MV GenomSeq/genom.de), where GHGA’s
Data Hubs serve as Genome Data Centres. This initiative aims to sequence up to 100,000 patients with either oncological or rare diseases over the next five years, creating one of Germany’s largest genomic datasets.
Here, we emphasize Germany’s approach to develop sustainable, cutting-edge data infrastructures that operate within a robust ethico-legal framework. This ensures that omics data is managed in a secure, data protection-compliant, and FAIR manner, balancing openness with responsibility.
Through cloud-based infrastructure at the GHGA Data Hubs, GHGA provides secure, controlled access to raw and processed sequence data, alongside standardized, GA4GH-compliant next-generation sequencing (NGS) analysis workflows. To enhance reproducibility and scalability we collaborate with the nf-core community to standardize bioinformatics workflows for data analysis, statistical evaluation, and visualization.
On the international stage, GHGA contributes to the European Genomic Data Infrastructure (GDI) project, advancing the 1+ Million Genomes initiative by ensuring seamless interoperability across borders. Domestically, GHGA supports the Model Project Genome Sequencing (MV GenomSeq/genom.de), where GHGA’s
Data Hubs serve as Genome Data Centres. This initiative aims to sequence up to 100,000 patients with either oncological or rare diseases over the next five years, creating one of Germany’s largest genomic datasets.