Projects

Showing 11 - 16 results of 16

Scientific computing and data processing, web and information systems, database systems, computer sciences, information science and bioinformatics, numerical analysis, simulation, optimisation, modelling tools, text data miningRecent years witness an upsurge in the quantities of digital research data, offering new insights and opportunities for improved understanding. Text...

Rare Diseases, Biobanks, Clinical BioinformaticsDespite examples of excellent practice, rare disease (RD) research is still mainly fragmented by data and disease types. Individual efforts have little interoperability and almost no systematic connection between detailed clinical and genetic information, biomaterial availability or research/trial datasets. By developing robust...

The life sciences are undergoing a transformation. Modern experimental tools study the molecules, reactions, and organisation of life in unprecedented detail. The precipitous drop in costs for high-throughput biology has enabled European research laboratories to produce an everincreasing amount of data.

Life scientists are rapidly generating the most...

There is a continued need for higher compute performance: scientific grand challenges, engineering, geophysics, bioinformatics, etc. However, energy is increasingly becoming one of the most expensive resources and the dominant cost item for running a large supercomputing facility. In fact the total energy cost of a few years of operation can almost equal the cost of the...

Life Science developed into one of the largest e-Infrastructure users in Europe, in part due to the ever-growing amount of biological data. At the time of the project, modern drug design typically included both sequence bioinformatics, in silico virtual screening, and free energy calculations, e.g. of drug binding. This development has accelerated tremendously, and has put...

Several research communities in Europe exploit e-Infrastructures, sharing data and computing resources with Grid and Supercomputing technology. However the inherent complexity of these technologies has limited their wider adoption and their long term sustainability: designing, developing and operating a computing infrastructure for an e-Science community remains challenging...

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