Paper Info
Title
On Construction of Cluster and Grid Computing Platforms for Parallel Bioinformatics Applications
Abstract
Biology databases are diverse and massive. As a result, researchers must compare each sequence with vast numbers of other sequences. Comparison, whether of structural features or protein sequences, is vital in bioinformatics. These activities require high-speed, high-performance computing power to search through and analyze large amounts of data and industrial-strength databases to perform a range of data-intensive computing functions. Grid computing and Cluster computing meet these requirements. Biological data exist in various web services that help biologists search for and extract useful information. The data formats produced are heterogeneous and powerful tools are needed to handle the complex and difficult task of integrating the data. This paper presents a review of the technologies and an approach to solve this problem using cluster and grid computing technologies. The authors implement an experimental distributed computing application for bioinformatics, consisting of basic high-performance computing environments Grid and PC Cluster systems, multiple interfaces at user portals that provide useful graphical interfaces to enable biologists to benefit directly from the use of high-performance technology, and a translation tool for converting biology data into XML format.
Year
DOI
Venue
2011
10.4018/jghpc.2011010104
IJGHPC
Keywords
Field
DocType
grid computing,high-performance computing power,biology data,high-performance technology,grid computing platforms,data-intensive computing function,biological data,basic high-performance computing environment,grid computing technology,data format,cluster computing,parallel bioinformatics applications,bioinformatics
Biological data,Grid computing,Data-intensive computing,Computer science,Utility computing,End-user computing,Semantic grid,Bioinformatics,Web service,Computer cluster,Distributed computing
Journal
Volume
Issue
ISSN
3
1
1938-0259
Citations 
PageRank 
References 
0
0.34
16
Authors
2
Name
Order
Citations
PageRank
Chao-Tung Yang11196139.50
Wen-Chung Shih221121.39