High-performance computer Super MUC at Leibniz Supercomputing Center (LRZ) in Garching. Such computers have become important tools for cutting-edge research. TUM, LRZ, and other partners are part of an initiative aiming to create a national reserarch data infrastructure. Image: Andreas Heddergott / TUM
High-performance computer Super MUC at Leibniz Supercomputing Center (LRZ) in Garching. Such computers have become important tools for cutting-edge research. TUM, LRZ, and other partners are part of an initiative aiming to create a national reserarch data infrastructure. Image: Andreas Heddergott / TUM National research data infrastructure: TUM involved in three consortia - Genome sequencing produces immense quantities of data. The aim of the German Human Genome-Phenome Archive (GHGA) is to make these data available to science without violating the personality rights of patients. The GHGA will focus initially on data collections pertaining to cancer and rare genetic disorders. Several nodes will be created across Germany through which researchers can access datasets.
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