Special section: Life science grids for biomedicine and bioinformatics

被引：10

作者：

Aloisio, Giovanni

Breton, Vincent

Mirto, Maria ^{[1
]}

Murli, Almerico

Solomonides, Tony

机构：

[1] Univ Lecce, NCR INFM, NNL, CACT, I-73100 Lecce, Italy

[2] Univ Lecce, Fac Engn, I-73100 Lecce, Italy

[3] Univ Clermont Ferrand, CNRS UMR 6533, IN2P3, Lab Phys Corpusculaire Clermont Ferrand, Clermont Ferrand, France

[4] Univ Naples Federico II, Naples, Italy

[5] Univ W England, Fac Comp Engn & Math Sci, Bristol BS16 1QY, Avon, England

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS | 2007年 / 23卷 / 03期

关键词：

D O I：

10.1016/j.future.2006.10.005

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 [计算机软件与理论];

摘要：

Grid architecture and technology are finding applications in the life sciences, enabling data storage, pre-processing, analysis, and interpretation. Biological data needs to be semantically annotated through comparison techniques that correlate unknown data with those of known function. The real problem underlies the Grid concept is coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organizations. The grid paradigm offers CPU and data handling capabilities and allows users and laboratories to share their facilities through high bandwidth networks between dynamically formed virtual organizations. The value of bioinformatic databases can be imp[roved by deploying them as a decentralized, semantically integrated service-oriented data grid. A graphical user interface provides a semantic editor that allows the composition of workflows.

引用

页码：367 / 370

页数：4