Advances in Biomedical Infrastructure 2013
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Current Biomedical Databases are independently administered in geographically distinct locations, lending them almost ideally to adoption of intelligent data management approaches. This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis. The book will be a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development in biomedical data management.
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Dove, E.; Joly, Y.; Tassé, A.; Brookes, A.; Burton, P.; Chisholm, R.; Fortier, I.; Goodwin, P.; Harris, J.; Hveem, K.; Kaye, J.; Kent, A.; Knoppers, B.; Lindpaintner, K.; Little, J.; Riegman, P.; Ripatti, S.; Stolk, R.; Bobrow, M.; Cambon-Thomsen, A.; Dressler, L.; Kato, K.; Rodriguez, L.; McPherson, T.; Nicolás, P.; Ouellette, F.; Romeo-Casabona, C.; Sarin, R.; Wallace, S.; Wiesner, G.; Wilson, J.; Zeps, Nikolajs; Simkevitz, H.; De Rienzo, A. (2015)© 2015 Macmillan Publishers Limited. All rights reserved. The biggest challenge in twenty-first century data-intensive genomic science, is developing vast computer infrastructure and advanced software tools to perform ...
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