Grid Computing in Life Science

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 31June 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. Fruitful discussions took place through 18 oral presentations, including a keynote address and ?ve invited talks, and 16 poster and demonstration p- sentations in the ?elds of grid infrastructure for life sciences, systems biology, massive data processing, databases and data grids, grid portals and pipelines for functional annotation, parallel and distributed applications, and life science grid projects. The workshop emphasized the practical aspects of grid techno- gies in terms of improving grid-enabled data/information/knowledge sharing, high-performance computing, and collaborative projects. There was agreement among the participants that the advancement of grid technologies for life science research requires further concerted actions and promotion of grid applications. We therefore concluded the workshop with the announcement of LSGRID 2005.

Contenu
Life Science Grid.- Gene Trek in Procaryote Space Powered by a GRID Environment.- An Integrated System for Distributed Bioinformatics Environment on Grids.- Distributed Cell Biology Simulations with E-Cell System.- The Architectural Design of High-Throughput BLAST Services on OBIGrid.- Heterogeneous Database Federation Using Grid Technology for Drug Discovery Process.- Grid Portal Interface for Interactive Use and Monitoring of High-Throughput Proteome Annotation.- Grid Workflow Software for a High-Throughput Proteome Annotation Pipeline.- Genome-Wide Functional Annotation Environment for Thermus thermophilus in OBIGrid.- Parallel Artificial Intelligence Hybrid Framework for Protein Classification.- Parallelization of Phylogenetic Tree Inference Using Grid Technologies.- EMASGRID: An NBBnet Grid Initiative for a Bioinformatics and Computational Biology ServicesInfrastructure in Malaysia.- Development of a Grid Infrastructure for Functional Genomics.- Building a Biodiversity GRID.- Mega Process Genetic Algorithm Using Grid MP.- Gridifying an Evolutionary Algorithm for Inference of Genetic Networks Using the Improved GOGA Framework and Its Performance Evaluation on OBI Grid.