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Aggiungi al carrelloCondizione: 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. . . . .
Condizione: New. pp. 476.
Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 161,26
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Aggiungi al carrelloCondizione: 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 to 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.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 176,82
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 to 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(TM) 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. 476 pp. Englisch.
Da: moluna, Greven, Germania
EUR 89,99
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Features an international look at the cutting-edge of proteomics studyContains practical, concrete examples of the most invaluable current technologies along with detailed applications of those technologiesPresents chapters with implementation advice straig.
Da: Majestic Books, Hounslow, Regno Unito
EUR 158,09
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 476 Illus.
Da: preigu, Osnabrück, Germania
EUR 93,35
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Aggiungi al carrelloBuch. Condizione: Neu. Data Mining in Proteomics | From Standards to Applications | Michael Hamacher (u. a.) | Buch | xii | Englisch | 2010 | Humana | EAN 9781607619864 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 to 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 159,72
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 476.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 113,44
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 to 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(TM) 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.