Proteome Bioinformatics

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