Grid Computing in Life Science
Publication year: 2005
ISBN: 978-3-540-32251-1
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Researchers in the ?eld of life sciences rely increasingly on information te- nology to extract and manage relevant knowledge. The complex computational and data management needs of life science research make Grid technologies an attractive support solution. However, many important issues must be addressed before the Life Science Grid becomes commonplace. The 1st International Life Science Grid Workshop (LSGRID 2004) was held in Kanazawa Japan, May 31–June 1, 2004. This workshop focused on life s- ence applications of grid systems especially for bionetwork research and systems biology which require heterogeneous data integration from genome to phenome, mathematical modeling and simulation from molecular to population levels, and high-performance computing including parallel processing, special hardware and grid computing.
Subject: Computer Science, Annotation, algorithms, architecture, bioinformatics, biology, biomedical data analysis, computational biolog, functional annotation, genome, grid architectures, grid computing, grid-enabled data management, high perfomance computing, proteome data processing, tree inference
