News

The "14th International Workshop on Science Gateways” brought together researchers from different backgrounds to discuss problems and solutions in the fields related to science gateways.

GHGA reached an important milestone in signing a cooperation agreement to become a national node in the federated European Genome-Phenome Archive. This will make data in GHGA finadable and interoperable beyond German borders.

To further evaluate the needs of research groups generating human sequencing data with regards to storage, analysis and sharing of those data, GHGA launches a landscape survey.

Within GHGAs efforts to offer training for researchers in diverse topics, GHGA held its first practical course on FAIR research data management in June.

In April 2022 we released version 0.7.0 of the GHGA Metadata Model, which contains a refined metadata structure of the GHGA metadata schema.

End of April, the GHGA development team participated in the "ELIXIR Compute Platform 2022 Face-to-Face Meeting" in Berlin and introduced the GHGA mission and architecture strategy to the Compute Platform members.

The NGS community came together to highlight the role of sequencing in crisis and establish a clear picture for the future of sequencing across all areas of life science. 

Inversions in the human genome form more commonly than previously thought, impacting our understanding of genetic stability and diseases.

A new study introduces a workflow with the clinical implementation of RNA sequencing in conjunction with DNA sequencing to diagnose patients with rare genetic disorders.

Within a participatory study, GHGA will hold deliberative democratic forums exploring the patients’ perspectives and which concrete roles patients could take within GHGA governance.

With our goal in mind to create and implement best-practise workflows, GHGA team members attended the nf-core hackathon.

GHGA participated at the GfH conference (German Society for Human Genetics) and organized a workshop titled “The German Human Genome-Phenome Archive (GHGA): Best practice examples for shared genome data usage”.