A Method to Find Uniq e Sequences on Distrib ted Genomic Databases
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
A Method to Verify Originality of Sequences Secretly on Distributed Computing Environment
HPCASIA '04 Proceedings of the High Performance Computing and Grid in Asia Pacific Region, Seventh International Conference
Virtual screening on large scale grids
Parallel Computing
Grid Deployment of Legacy Bioinformatics Applications with Transparent Data Access
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Grid-enabled high throughput virtual screening
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
The development of a drug discovery virtual screening application on Taiwan unigrid
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
Two experiments with application-level quality of service on the EGEE grid
Proceedings of the 2nd workshop on Grids meets autonomic computing
Simultaneous scheduling of replication and computation for bioinformatic applications on the grid
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
The deployment and evaluation of a bioinformatics grid platform - The HUST_Bio_Grid
Computers and Electrical Engineering
PROGENIA: an approach for grid interoperability at workflow level
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
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The grid is a promising tool to resolve the crucial issue of software and data integration in biology. In this paper, we have reported on our experience in the deployment of bioinformatic grid applications within the framework of the DataGrid project. These applications inquired the potential impact of grids for CPU demanding algorithms and bioinformatics web portals and for the update and distribution of biological databases.Grid computing tests showed how resources sharing improves the current practice of bioinformatics. Reached performance demonstrated the interest of the grid tool.