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» Data parallelism in bioinformatics workflows using Hydra
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ESCIENCE
2006
IEEE
14 years 1 months ago
Communication over a Secured Heterogeneous Grid with the GriddLeS Runtime Environment
Scientific workflows are a powerful programming technique for specifying complex computations using a number of otherwise independent components. When used in a Grid environment, ...
Jagan Kommineni, David Abramson, Jefferson Tan
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Using Parallel Algorithms for Searching Molecular Sequence Databases
This work presents the development of algorithms for approximate string matching using parallel methods. It intends to do the maximum of molecular sequences comparisons per unity ...
Carla Correa Tavares dos Reis, Rubem P. Mondaini
SC
2009
ACM
14 years 2 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
ESCIENCE
2007
IEEE
13 years 11 months ago
Storing and Querying Scientific Workflow Provenance Metadata Using an RDBMS
Provenance management has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow enviro...
Artem Chebotko, Xubo Fei, Cui Lin, Shiyong Lu, Far...
BMCBI
2006
130views more  BMCBI 2006»
13 years 7 months ago
Laboratory Information Management Software for genotyping workflows: applications in high throughput crop genotyping
Background: With the advances in DNA sequencer-based technologies, it has become possible to automate several steps of the genotyping process leading to increased throughput. To e...
B. Jayashree, Praveen T. Reddy, Y. Leeladevi, Jona...