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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Konagaya, Akihiko (Επιμελητής έκδοσης), Satou, Kenji (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Lecture Notes in Computer Science, 3370
• Θέματα: Computer science.; Software engineering.; Operating systems (Computers).; Algorithms.; Bioinformatics.; Computational biology.; Computer Science.; Information Systems Applications (incl. Internet).; Operating Systems.; Software Engineering.; Algorithm Analysis and Problem Complexity.; Computer Appl. in Life Sciences.

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 ad...

Πίνακας περιεχομένων:

• 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.