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Proteome Informatics [Hardcover]

Item : Proteome Informatics [Hardcover]
Price : $271.99 (see below)
Category : Books
ISBN-10 ISBN-10 : 1782624287
ISBN-13 ISBN-13 : 9781782624288
Publisher Publisher : Royal Society of Chemistry
Pages Pages : 511
Binding Binding : Hardcover
Item ID : 100032294

The field of proteomics has developed rapidly over the past decade, with many new instruments, protocols and biological applications appearing. The informatics aspects of proteomics have evolved at an equally rapid pace, with many new tools, new algorithms, and improvements to best practice being published. Providing a detailed introduction to the main informatics topics that underpin the various LC-MS/MS protocols used for protein identification and quantitation, this book brings together the key proteome informatics methodologies for researchers and practising analytical scientists.Bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, Proteome Informatics will provide a detailed introduction to the main informatics topics that underpin the various LC-MS/MS protocols used for protein identification and quantitation.

Internal standard features are then used to derive normalization factors that correct for sample loading
disparities and ionization variabilities. Protein-level differential analysis encompasses processes to quantify proteins via constituent peptide analyses, as well as approaches to determine protein regulation disparities across study samples. MS2-based quantification, which exploits abundance data of fragment ions in tandem MS spectra, is then discussed by drawing comparisons between spectral counting and reporter ion-based quantification. Discussion then veers into the bioinformatics
support for selected reaction monitoring (SRM), the gold standard for accurate, unambiguous MS-based quantification. The section concludes with a chapter on dataindependent acquisition (DIA), which primarily differs from data-dependent acquisition (DDA) in that the window selection of the first mass analyzer is dynamic during DDA, whereas it is used to scan the entire spectrum during DIA. Data analysis can be tricky in DIA and the chapter does justice in surveying DIA theory, notable DIA methods el#&

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