Mass Spectrometry Data Analysis in Proteomics (Springer New York, 2020)
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