Genedata Expands Collaboration with HepatoSys Systems Biology Network
In the first funding period of HepatoSys, Genedata had been tasked to develop and establish a computational platform serving as the consortium's central data storage and analysis infrastructure. The platform was successfully deployed and is now being used by the consortium. The centralized data storage infrastructure enables an integrative approach to the interpretation of systems biology modeling results in the context of experimental findings, including high-throughput transcriptomics, proteomics and metabolomics data.
Taking the collaboration to the next level, Genedata will now work on data analysis projects to interpret the huge amounts of molecular profiling data generated within the HepatoSys consortium.
"The ambitous goal to simulate complex biochemical networks and their regulation in liver cells is highly relevant for innovative biomedical applications," explained Prof. Irmgard Merfort, Institute for Pharmaceutical Sciences, University of Freiburg. "Cellular processes such as programmed cell death and regeneration of liver cells are of great scientific and medical interest. Genedata will help us to identify new biomarkers for disease diagnostics and to pave the way for novel therapeutic approaches in tissue regeneration, cancer and inflammation."
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Topic world Diagnostics
Diagnostics is at the heart of modern medicine and forms a crucial interface between research and patient care in the biotech and pharmaceutical industries. It not only enables early detection and monitoring of disease, but also plays a central role in individualized medicine by enabling targeted therapies based on an individual's genetic and molecular signature.
Topic world Diagnostics
Diagnostics is at the heart of modern medicine and forms a crucial interface between research and patient care in the biotech and pharmaceutical industries. It not only enables early detection and monitoring of disease, but also plays a central role in individualized medicine by enabling targeted therapies based on an individual's genetic and molecular signature.