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Mass Spectrometry Data Analysis in Proteomics

Overview of attention for book
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
Attention for Chapter 17: Using the Object-Oriented PowerShell for Simple Proteomics Data Analysis
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Citations

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Chapter title
Using the Object-Oriented PowerShell for Simple Proteomics Data Analysis
Chapter number 17
Book title
Mass Spectrometry Data Analysis in Proteomics
Published by
Humana, New York, NY, September 2019
DOI 10.1007/978-1-4939-9744-2_17
Pubmed ID
31552639
Book ISBNs
978-1-4939-9743-5, 978-1-4939-9744-2
Authors

Yassene Mohammed, Magnus Palmblad, Mohammed, Yassene, Palmblad, Magnus

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Other 1 17%
Unknown 4 67%
Readers by discipline Count As %
Computer Science 1 17%
Unknown 5 83%

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