9781607619864 - data mining in proteomics: from standards to applications (methods in molecular biology, 696, band 696) (4 Ergebnisse)
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Zustand: New. Data Mining in Proteomics presents new insights within the proteomics community, while taking into account the historical evolution and international standardization projects. The text presents overviews of proteomics technologies, standard data formats, databases, and more. Editor(s): Hamacher, Michael; Eisenacher…, Martin; Stephan, Christian. Series: Methods in Molecular Biology. Num Pages: 461 pages, 12 black & white tables, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 30. Weight in Grams: 1080. . 2010. Hardback. . . . . Books ship from the US and Ireland.
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Hardcover. Zustand: Brand New. 420 pages. 10.50x7.50x1.25 inches. In Stock.
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 476 | Sprache: Englisch | Produktart: Bücher | Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards t…o Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology¿ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.
