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Theme 2: Medical and Biological Sciences

Led by Richard Baldock

Medical and Biological research now makes very high demand on very high-volume data capture, high through-put methods and computational modeling and systems analysis. The demand ranges from lab-based hypothesis led research through to large consortia developing massive datasets. In most cases bioinformatics, informatics and computation are important and in many multidisciplinary and multi-site collaborations are necessary. This is where e-Science has and can provide massive dividends for the application domain. How for example can high-performance computing be delivered on demand, interactively, and in time for diagnosis - urgent computing in the provision of clinical services. How can the massive datasets associated with the 1000 Genomes project be accessible for analysis for a research group that may not have appropriate data-handling and computational capacity? A functional e-Science grid in its most general sense is required for this level of collaboration, interoperability and resource management. The UK and EU has funded a number of large-scale projects (e.g. the Virtual Physiological Human) which can serve as a model for how this type of research can be delivered via e-Science. The UK All Hands Meetings have served as a mechanism to build a community focussed on e-Science issues. The goal of the Computational Biomedicine track is to act as a focus for UK computational biomedicine e-Science to bring together research scientists from the essential disciplines to discus and deliver the collaborative structures, data-management and computational resource.

In this theme we invite submissions from all areas of medical and biological research that provide analysis, solutions or problems for e-Science in the broad sense.