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- W2002146585 abstract "We connect in a grid-enabled pipeline an ontology-based environment for proteomics spectra management with a machine learning platform for unbiased predictive analysis. We exploit two existing software platforms (MS-Analyzer and BioDCV), the emerging proteomics standards, and the middleware and computing resources of the EGEE Biomed VO grid infrastructure. In the setup, BioDCV is accessed by the MS-Analyzer workflow as a Web service, thus providing a complete grid environment for proteomics data analysis. Predictive classification studies on MALDI-TOF data based on this environment are presented." @default.
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- W2002146585 date "2007-06-01" @default.
- W2002146585 modified "2023-09-24" @default.
- W2002146585 title "A Grid Environment for High-Throughput Proteomics" @default.
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- W2002146585 doi "https://doi.org/10.1109/tnb.2007.897495" @default.
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