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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 320 pages. 10.25x7.25x1.00 inches. In Stock.
Zustand: New. This Methods in Molecular Biology(t) book details methods used to study proteomics, offering lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Editor(s): Zhou, Ming; Veenstra, Dr. Timothy D. Series: Methods in Molecular Biology. Num Pages: 320 pages, 23 black & white illustrations, 34 colour illustrations, 15 black & white tables, biograp. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 262 x 178 x 28. Weight in Grams: 770. . 2013. 2013th Edition. hardcover. . . . . Books ship from the US and Ireland.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 336 | Sprache: Englisch | Produktart: Bücher | With the advent of proteomics came the development of technologies, primarily mass spectrometry, which allowed high-throughput identification of proteins in complex mixtures. While the mass spectrometer resides at the heart of proteomics, its ability to characterize biological samples is only as good as the sample preparation and data analysis tools used in any study. In Proteomics for Biomarker Discovery, expert researchers in the field detail many of the methods which are now commonly used to study proteomics. These include methods and techniques include both label-free approaches and those that utilize stable isotopes incorporated both during cell growth or added via a chemical reaction once the proteome is extracted from the cell. Written in the highly successful Methods in Molecular Biology¿ series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Proteomics for Biomarker Discovery seeks to aid scientists in the further study the different sample preparation and data analysis tools used in proteomics today.