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Mass Spectrometry Data Analysis in Proteomics

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Cover of 'Mass Spectrometry Data Analysis in Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Mass Spectrometry-Based Proteomics
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    Chapter 2 LC-MS Spectra Processing
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    Chapter 3 Isotopic Distributions
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    Chapter 4 Retention Time Prediction and Protein Identification
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    Chapter 5 Algorithms for Database-Dependent Search of MS/MS Data
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    Chapter 6 Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides
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    Chapter 7 Improving Peptide Identification Using Empirical Scoring Systems
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    Chapter 8 Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry
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    Chapter 9 Computational Approaches to Selected Reaction Monitoring Assay Design
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    Chapter 10 Feature selection and machine learning with mass spectrometry data.
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    Chapter 11 Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data
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    Chapter 12 Permethylated N-glycan analysis with mass spectrometry.
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    Chapter 13 Mass Spectrometry Methods for Studying Glycosylation in Cancer
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    Chapter 14 Proteomics data exchange and storage: the need for common standards and public repositories.
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    Chapter 15 Tools for Protein Posttranslational Modifications Analysis: FAK, a Case Study
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    Chapter 16 Proteomic Strategies to Characterize Signaling Pathways
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    Chapter 17 Simple Proteomics Data Analysis in the Object-Oriented PowerShell
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