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Mass Spectrometry Data Analysis in Proteomics

Editat de Rune Matthiesen
en Limba Engleză Paperback – 23 aug 2016
Since the publishing of the first edition, the methodologies and instrumentation involved in the field of mass spectrometry-based proteomics has improved considerably.  Fully revised and expanded, Mass Spectrometry Data Analysis in Proteomics, Second Edition presents expert chapters on specific MS-based methods or data analysis strategies in proteomics. The volume covers data analysis topics relevant for quantitative proteomics, post translational modification, HX-MS, glycomics, and data exchange standards, among other topics.  Written in the highly successful Methods in Molecular Biology series format, chapters include brief introductions to their respective subjects, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
 
Updated and authoritative, Mass Spectrometry Data Analysis in Proteomics, Second Edition serves as a detailed guide for all researchers seeking to further our knowledge in the field of proteomics.
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Specificații

ISBN-13: 9781493959952
ISBN-10: 1493959956
Pagini: 416
Ilustrații: X, 405 p. 93 illus., 59 illus. in color.
Dimensiuni: 178 x 254 x 23 mm
Greutate: 0.78 kg
Ediția:Softcover reprint of the original 2nd edition 2013
Editura: Humana
Locul publicării:Totowa, NJ, United States

Cuprins

Introduction to Mass Spectrometry-Based Proteomics.- LC-MS Spectra Processing.- Isotopic Distributions.- Retention Time Prediction and Protein Identification.- Algorithms for Database Dependent Search of MSMS Data.- Interpretation of Tandem Mass Spectra of Post-Translationally Modified Peptides.- Improving Peptide Identification Using Empirical Scoring Systems.- Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry.- Computational Approaches to Selected Reaction Monitoring (SRM) Assay Design.- Feature Selection and Machine Learning with Mass Spectrometry Data.- Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data.- Permethylated N-Glycan Analysis with Mass Spectrometry.- Mass Spectrometry Methods for Studying Glycosylation in Cancer.- Proteomics Data Exchange and Storage: The Need for Common Standards and Public Repositories.- Tools for Protein Post Translational Modifications Analysis: FAK, A Case Study.- Proteomic Strategies to Characterize Signaling Pathways.- Simple Proteomics Data Analysis in the Object-Oriented PowerShell.

Textul de pe ultima copertă

Since the publishing of the first edition, the methodologies and instrumentation involved in the field of mass spectrometry-based proteomics has improved considerably.  Fully revised and expanded, Mass Spectrometry Data Analysis in Proteomics, Second Edition presents expert chapters on specific MS-based methods or data analysis strategies in proteomics. The volume covers data analysis topics relevant for quantitative proteomics, post translational modification, HX-MS, glycomics, and data exchange standards, among other topics.  Written in the highly successful Methods in Molecular Biology series format, chapters include brief introductions to their respective subjects, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
 
Updated and authoritative, Mass Spectrometry Data Analysis in Proteomics, Second Edition serves as a detailed guide for all researchers seeking to further our knowledge in the field of proteomics.

Caracteristici

Collects cutting-edge methods and protocols involving mass spectrometry-based proteomics and relevant data analysis Provides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the experts to ensure successful results Includes supplementary material: sn.pub/extras