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» Data parallelism in bioinformatics workflows using Hydra
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HPDC
2010
IEEE
13 years 8 months ago
Optimization of a parallel permutation testing function for the SPRINT R package
The statistical language R and Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by these analyses has reached...
Savvas Petrou, Terence M. Sloan, Muriel Mewissen, ...
GRID
2007
Springer
14 years 1 months ago
Data placement for scientific applications in distributed environments
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...
GRID
2006
Springer
13 years 7 months ago
Workflow Global Computing with YML
In this paper we propose a framework dedicated to the development and the execution of parallel applications over large scale global computing platforms. A workflow programming env...
Olivier Delannoy, Nahid Emad, Serge G. Petiton
BMCBI
2005
246views more  BMCBI 2005»
13 years 7 months ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
ESCIENCE
2005
IEEE
14 years 1 months ago
A Grid Environment for Data Integration of Scientific Databases
Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. ...
Hideo Matsuda