How does genome research actually work and how do you figure out which letters (of the DNA bases) lead to which body function? Find out more in this new podcast episode! (The podcast is only available in German.)
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.
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23 May 2022
Barbara Prainsack (University of Vienna) will talk about “How can data-driven practices in biomedicine contribute to healthy societies? Empirical and healthy conceptual considerations” on the 23. May 2022, 16:00 CET.Learn more
30 May - 02 Jun 2022
This virtual hands-on workshop is co-organised together with EMBL Bio-IT and will teach the FAIR principles, what this means in practice and how they can be integrated in the daily workflowsLearn more
10 - 11 Oct 2022
Save the Date - we are pleased to announce that the next internal GHGA Annual Meeting will take place 10-11 October 2022, in Tübingen.Learn more
GHGA is funded as part of the National Research Data Infrastructure (NFDI e.V.) via the DFG.
With 46 Participants from 21 institutions, GHGA is organised in six data hubs across Germany combining leading institutions in genomic medicine, major omics data producers (including four DFG Sequencing Centers) and HPC centers committed to provide scalable infrastructure.
To ensure smooth working, seven workstreams were formed.
"GHGA wants to enable research with omics data in an ethically and legally responsible way so that knowledge reaches patient care faster."
"GHGA will go beyond data archive - the goal is to establish a comprehensive genome data infrastructure and research platform that will also act as a bridge between basic research and translation."
"GHGA will be a key infrastructure for the archiving, and sharing, of sensitive human gen(omics) research data requiring appropriate protection, in Germany and internationally. Go data sharing to advance research for the common good!"
"GHGA is building a national archive for human genome data. It balances the need for data privacy with the need for access to this data through secure access mechanisms thus enabling FAIR and transparent use of the data."