Grid Computing in Life Science : First International Workshop on Life Science Grid, LSGRID 2004, Kanazawa, Japan, May 31-June 1, 2004, Revised Selected and Invited Papers / edited by Akihiko Konagaya, Kenji Satou.
Tipo de material:
- texto
- computadora
- recurso en línea
- 9783540322511
- QA76.76.A65
Springer eBooks
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.
This book constitutes the thoroughly refereed postproceedings of the First International Life Science Grid Workshop, LSGRID 2004, held in Kanazawa, Japan in May/ June 2004. The 10 revised full papers and 5 invited papers presented were carefully selected and went through two rounds of reviewing and revision. Among the topics addressed are grid environment for bioinformatics, grid architectures, database federation, proteome annotation, grid workflow software, functional genome annotation, protein classification, tree inference, parallel computing, high performance computing, grid infrastructures, functional genomics, and evolutionary algorithms.
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