Mass Spectrometry Data Analysis in Proteomics [E-Book] / edited by Rune Matthiesen.
Matthiesen, Rune, (editor)
3rd edition 2020.
New York, NY : Humana Press, 2020
X, 445 pages 136 illustrations, 94 illustrations in color (online resource)
Methods in Molecular Biology ; 2051
Full Text
Table of Contents:
  • 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 Quality in 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.