Mass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This Methods in Molecular Biology book covers mass spectrometry data analysis in quantitative proteomics, post translational modification, HX-MS, glycomics, and data exchange standards. Includes materials lists, reproducible protocols, tips and more.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. A guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. It outlines bioinformatics programs, algorithms, and databases available for MS data analysis. It also provides general guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS. Editor(s): Matthiesen, Rune, PhD (University of Southern Denmark, Odense, Denmark). Series: Methods in Molecular Biology. Num Pages: 320 pages, 87 black & white illustrations, 17 black & white tables, biography. BIC Classification: PSD; PSF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 1420. . 2006. Hardback. . . . . N° de réf. du vendeur V9781588295637
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Etat : New. Essential reference for mass spectrometry (MS) in proteomics and glycomicsConcise protocols for optimizing search parameters in MS search enginesPractical guide to MS data analysis and bioinformaticsThorough review of available datab. N° de réf. du vendeur 458519458
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Etat : New. A guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. It outlines bioinformatics programs, algorithms, and databases available for MS data analysis. It also provides general guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS. Editor(s): Matthiesen, Rune, PhD (University of Southern Denmark, Odense, Denmark). Series: Methods in Molecular Biology. Num Pages: 320 pages, 87 black & white illustrations, 17 black & white tables, biography. BIC Classification: PSD; PSF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 1420. . 2006. Hardback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781588295637
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