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» Data parallelism in bioinformatics workflows using Hydra
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ESCIENCE
2006
IEEE
15 years 5 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
15 years 3 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
15 years 21 days 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
14 years 11 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»
15 years 5 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