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» Data parallelism in bioinformatics workflows using Hydra
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ESCIENCE
2006
IEEE
14 years 1 months ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
GCC
2006
Springer
13 years 11 months ago
Grid Enabled Data Integration Framework for Bioinformatics Research
A framework is proposed to manage the distributed and heterogeneous databases in grid environment for understanding protein-protein interaction. Furthermore, the framework is used...
Jia Liu, Yongwei Wu, Weimin Zheng
HPDC
2010
IEEE
13 years 8 months ago
Towards optimising distributed data streaming graphs using parallel streams
Modern scientific collaborations have opened up the opportunity of solving complex problems that involve multidisciplinary expertise and large-scale computational experiments. The...
Chee Sun Liew, Malcolm P. Atkinson, Jano I. van He...
GRID
2006
Springer
13 years 7 months ago
Grid Deployment of Legacy Bioinformatics Applications with Transparent Data Access
Although grid computing offers great potential for executing large-scale bioinformatics applications, practical deployment is constrained by legacy interfaces. Most widely deployed...
Christophe Blanchet, Rémi Mollon, Douglas T...
CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Open Microscopy Environment
High-throughput scoring of image-based biological assays heavily depends on the extraction of quantitative numerical information from microscopy images. This paper describes how t...
Ilya G. Goldberg