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This article is part of the supplement: APBioNet – Fifth International Conference on Bioinformatics (InCoB2006)

Open Access Review

Trends in life science grid: from computing grid to knowledge grid

Akihiko Konagaya

Author Affiliations

Genomic Sciences Center, RIKEN, Yokohama, Japan

BMC Bioinformatics 2006, 7(Suppl 5):S10  doi:10.1186/1471-2105-7-S5-S10

Published: 18 December 2006

Abstract

Background

Grid computing has great potential to become a standard cyberinfrastructure for life sciences which often require high-performance computing and large data handling which exceeds the computing capacity of a single institution.

Results

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 "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.

Conclusion

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.