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Mass Spectrometry Data Analysis in Proteomics: Methods in Molecular Biology, cartea 2051

Editat de Rune Matthiesen
en Limba Engleză Paperback – 26 sep 2020
The aim of this new edition is to provide detailed information on each topic and present novel ideas and views that can influence future developments in mass spectrometry-based proteomics. In contrast to the previous editions, this third edition aims to provide the most relevant computational methods, focusing on computational concepts. 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 tips on troubleshooting and avoiding known pitfalls.
 Authoritative and cutting-edge, Mass Spectrometry Data Analysis in Proteomics, Third Edition to ensure successful results in the further study of this vital field.
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Specificații

ISBN-13: 9781493997466
ISBN-10: 1493997467
Pagini: 445
Ilustrații: X, 445 p. 136 illus., 94 illus. in color.
Dimensiuni: 178 x 254 mm
Ediția:3rd ed. 2020
Editura: Springer
Colecția Humana
Seria Methods in Molecular Biology

Locul publicării:New York, NY, United States

Cuprins

Introduction to Mass Spectrometry-based Proteomics.- LC-MS Spectra Processing.- Isotopic Distributions.- Retention Time Prediction and Protein Identification.- Comparing Peptide Spectra Matches Across Search Engines.- Calculation of False Discovery Rate for Peptide and Protein Identification.- Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry.- Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides.- Solution to Dark Matter Identified by Mass-tolerant Database Search.- Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-targeted Cancer Therapies.- Mass Spectrometry Based Characterization of Ub- and UbL-modified Proteins.- Targeted Proteomics as a Tool for Quantifying Urine-based Biomarkers.- Data Imputation in Merged Isobaric Labelling-based Relative Quantification Datasets.- Clustering Clinical Data in R.- Review of Issues and Solutions to Data Analysis Reproducibility and Data Qualityin Clinical Proteomics.- Review of Batch Effects Prevention, Diagnostics, and Correction Approaches.- Using the Object-oriented PowerShell for Simple Proteomics Data Analysis.- Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data.


Textul de pe ultima copertă

The aim of this new edition is to provide detailed information on each topic and present novel ideas and views that can influence future developments in mass spectrometry-based proteomics. In contrast to the previous editions, this third edition aims to provide the most relevant computational methods, focusing on computational concepts. 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 tips on troubleshooting and avoiding known pitfalls.
 Authoritative and cutting-edge, Mass Spectrometry Data Analysis in Proteomics, Third Edition to ensure successful results in the further study of this vital field.

Caracteristici

Includes cutting-edge methods and protocols Provides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the experts