Document Detail


Changing from computing grid to knowledge grid in life-science grid.
MedLine Citation:
PMID:  19579217     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Grid computing has a great potential to become a standard cyber infrastructure for life sciences that often require high-performance computing and large data handling, which exceeds the computing capacity of a single institution. Grid computer applies the resources of many computers in a network to a single problem at the same time. It is useful to scientific problems that require a great number of computer processing cycles or access to a large amount of data.As biologists,we are constantly discovering millions of genes and genome features, which are assembled in a library and distributed on computers around the world.This means that new, innovative methods must be developed that exploit the re-sources available for extensive calculations - for example grid computing.This survey reviews the latest grid technologies from the viewpoints of computing grid, data grid and knowledge grid. Computing grid technologies have been matured enough to solve high-throughput real-world life scientific problems. Data grid technologies are strong candidates for realizing a "resourceome" for bioinformatics. Knowledge grids should be designed not only from sharing explicit knowledge on computers but also from community formulation for sharing tacit knowledge among a community. By extending the concept of grid from computing grid to knowledge grid, it is possible to make use of a grid as not only sharable computing resources, but also as time and place in which people work together, create knowledge, and share knowledge and experiences in a community.
Authors:
Veera Talukdar; Amit Konar; Ayan Datta; Anamika Roy Choudhury
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Publication Detail:
Type:  Journal Article; Retracted Publication; Review    
Journal Detail:
Title:  Biotechnology journal     Volume:  4     ISSN:  1860-7314     ISO Abbreviation:  Biotechnol J     Publication Date:  2009 Sep 
Date Detail:
Created Date:  2009-09-30     Completed Date:  2009-12-09     Revised Date:  2011-02-02    
Medline Journal Info:
Nlm Unique ID:  101265833     Medline TA:  Biotechnol J     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  1244-52     Citation Subset:  IM    
Affiliation:
Department of NCMT, NSHM-Knowledge Campus, Kolkata, India. bhaskarveera95@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Biological Science Disciplines / trends*
Biotechnology / trends*
Computational Biology / trends*
Forecasting
Internet / trends*
Comments/Corrections
Retraction In:
Biotechnol J. 2011 Jan;6(1):125   [PMID:  21225991 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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