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Proteome Bioinformatics

Overview of attention for book
Cover of 'Proteome Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Proteome Bioinformatics.
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    Chapter 2 Proteomic Data Storage and Sharing.
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    Chapter 3 Choosing an Optimal Database for Protein Identification from Tandem Mass Spectrometry Data.
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    Chapter 4 Label-Based and Label-Free Strategies for Protein Quantitation.
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    Chapter 5 TMT One-Stop Shop: From Reliable Sample Preparation to Computational Analysis Platform.
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    Chapter 6 Unassigned MS/MS Spectra: Who Am I?
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    Chapter 7 Methods to Calculate Spectrum Similarity.
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    Chapter 8 Proteotypic Peptides and Their Applications.
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    Chapter 9 Statistical Evaluation of Labeled Comparative Profiling Proteomics Experiments Using Permutation Test.
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    Chapter 10 De Novo Peptide Sequencing: Deep Mining of High-Resolution Mass Spectrometry Data.
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    Chapter 11 Phylogenetic Analysis Using Protein Mass Spectrometry.
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    Chapter 12 Bioinformatics Methods to Deduce Biological Interpretation from Proteomics Data.
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    Chapter 13 A Systematic Bioinformatics Approach to Identify High Quality Mass Spectrometry Data and Functionally Annotate Proteins and Proteomes.
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    Chapter 14 Network Tools for the Analysis of Proteomic Data.
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    Chapter 15 Determining the Significance of Protein Network Features and Attributes Using Permutation Testing.
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    Chapter 16 Bioinformatics Tools and Resources for Analyzing Protein Structures.
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    Chapter 17 In Silico Approach to Identify Potential Inhibitors for Axl-Gas6 Signaling.
Attention for Chapter 15: Determining the Significance of Protein Network Features and Attributes Using Permutation Testing.
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