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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 Comparing Peptide Spectra Matches Across Search Engines
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    Chapter 6 Calculation of False Discovery Rate for Peptide and Protein Identification
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    Chapter 7 Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry
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    Chapter 8 Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides
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    Chapter 9 Solution to Dark Matter Identified by Mass-Tolerant Database Search
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    Chapter 10 Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-Targeted Cancer Therapies
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    Chapter 11 Mass Spectrometry-Based Characterization of Ub- and UbL-Modified Proteins
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    Chapter 12 Targeted Proteomics as a Tool for Quantifying Urine-Based Biomarkers
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    Chapter 13 Data Imputation in Merged Isobaric Labeling-Based Relative Quantification Datasets
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    Chapter 14 Clustering Clinical Data in R
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    Chapter 15 Review of Issues and Solutions to Data Analysis Reproducibility and Data Quality in Clinical Proteomics
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    Chapter 16 Review of Batch Effects Prevention, Diagnostics, and Correction Approaches
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    Chapter 17 Using the Object-Oriented PowerShell for Simple Proteomics Data Analysis
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    Chapter 18 Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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