Cannataro M, Barla A, Flor R, Jurman G, Merler S, Paoli S, Tradigo G, Veltri P, Furlanello C. A Grid Environment for High-Throughput Proteomics.
IEEE Trans Nanobioscience 2007;
6:117-23. [PMID:
17695745 DOI:
10.1109/tnb.2007.897495]
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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.
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