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Titlebook: Distributed, High-Performance and Grid Computing in Computational Biology; International Worksh Werner Dubitzky,Assaf Schuster,Mathilde Rom

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發(fā)表于 2025-3-27 00:01:19 | 只看該作者
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發(fā)表于 2025-3-27 12:28:53 | 只看該作者
Accessing Bio-databases with OGSA-DAI - A Performance Analysisbase management systems and to special type of files like SwissProt files. It could become a vital tool for data integration in life sciences since the data is produced by different sources and residing in different data management systems. With it, users will have more flexibility in accessing the
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發(fā)表于 2025-3-28 05:08:55 | 只看該作者
The Three Fears Every Leader Has to Knowidual resources were analysed for consistency between them. We created a new resource containing only model fragments supported by agreement between the methods. Resources of this kind provide small sets of likely accurate predictions for non-expert users and are of interest in applied bioinformatics research.
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發(fā)表于 2025-3-28 06:55:33 | 只看該作者
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發(fā)表于 2025-3-28 13:26:51 | 只看該作者
Using Public Resource Computing and Systematic Pre-calculation for Large Scale Sequence Analysis public resource computing in bioinformatics that makes large-scale pre-calculation of sequence analyses feasible. The FASTA-/Smith-Watermanand HMMer applications for BOINC are freely available from the authors upon request. Data from SIMAP is publicly available through Web-Services at http://mips.gsf.de/simap.
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