From the reviews:“This book provides comprehensive coverage of the current status, challenges, open problems, and future trends in developing bioinformatics tools and resources for comparative proteomics research. … The audience ranges from graduate students embarking upon a research project to practicing biologists and bioinformaticians. This broad audience working in biotechnology and pharmaceutical companies and in various academic departments … will find this book quite useful. … This well-illustrated book is a comprehensive resource on bioinformatics for comparative proteomics.” (Omer Iqbal, Doody’s Book Reviews, March, 2012)

• Protein Bioinformatics Databases and Resources.- A Guide to UniProt for Protein Scientists.- InterPro Protein Classification.- Reactome Knowledgebase of Human Biological Pathways and Processes.- eFIP: A Tool for Mining Functional Impact of Phosphorylation from Literature.- A Tutorial on Protein Ontology Resources for Proteomic Studies.- Structure-Guided Rule-Based Annotation of Protein Functional Sites in UniProt Knowledgebase.- Modeling Mass Spectrometry-Based Protein Analysis.- Protein Identification from Tandem Mass Spectra by Database Searching.- LC-MS Data Analysis for Differential Protein Expression Detection.- Protein Identification by Spectral Networks Analysis.- Software Pipeline and Data Analysis for MS/MS Proteomics: The Trans-Proteomic Pipeline.- Analysis of High-Throughput ELISA Microarray Data.- Proteomics Databases and Repositories.- Preparing Molecular Interaction Data for Publication.- Submitting Proteomics Data to PRIDE Using PRIDE ConverterAutomated Data Integrationand Determination of Posttranslational Modifications with the Protein Inference Engine.- An Integrated Top-Down and Bottom-Up Strategy for Broadly Characterizing Protein Isoforms and Modifications.- Phosphoproteome Resource for Systems Biology Research.- Protein-Centric Data Integration for Functional Analysis of Comparative Proteomics Data.- Integration of Proteomic and Metabolomic Profiling as well as Metabolic Modeling for the Functional Analysis of Metabolic Networks.- Time Series Proteome Profiling.

From the reviews:“This book provides comprehensive coverage of the current status, challenges, open problems, and future trends in developing bioinformatics tools and resources for comparative proteomics research. … The audience ranges from graduate students embarking upon a research project to practicing biologists and bioinformaticians. This broad audience working in biotechnology and pharmaceutical companies and in various academic departments … will find this book quite useful. … This well-illustrated book is a comprehensive resource on bioinformatics for comparative proteomics.” (Omer Iqbal, Doody’s Book Reviews, March, 2012)

• Protein Bioinformatics Databases and Resources.- A Guide to UniProt for Protein Scientists.- InterPro Protein Classification.- Reactome Knowledgebase of Human Biological Pathways and Processes.- eFIP: A Tool for Mining Functional Impact of Phosphorylation from Literature.- A Tutorial on Protein Ontology Resources for Proteomic Studies.- Structure-Guided Rule-Based Annotation of Protein Functional Sites in UniProt Knowledgebase.- Modeling Mass Spectrometry-Based Protein Analysis.- Protein Identification from Tandem Mass Spectra by Database Searching.- LC-MS Data Analysis for Differential Protein Expression Detection.- Protein Identification by Spectral Networks Analysis.- Software Pipeline and Data Analysis for MS/MS Proteomics: The Trans-Proteomic Pipeline.- Analysis of High-Throughput ELISA Microarray Data.- Proteomics Databases and Repositories.- Preparing Molecular Interaction Data for Publication.- Submitting Proteomics Data to PRIDE Using PRIDE ConverterAutomated Data Integrationand Determination of Posttranslational Modifications with the Protein Inference Engine.- An Integrated Top-Down and Bottom-Up Strategy for Broadly Characterizing Protein Isoforms and Modifications.- Phosphoproteome Resource for Systems Biology Research.- Protein-Centric Data Integration for Functional Analysis of Comparative Proteomics Data.- Integration of Proteomic and Metabolomic Profiling as well as Metabolic Modeling for the Functional Analysis of Metabolic Networks.- Time Series Proteome Profiling.

From the reviews:“This book provides comprehensive coverage of the current status, challenges, open problems, and future trends in developing bioinformatics tools and resources for comparative proteomics research. … The audience ranges from graduate students embarking upon a research project to practicing biologists and bioinformaticians. This broad audience working in biotechnology and pharmaceutical companies and in various academic departments … will find this book quite useful. … This well-illustrated book is a comprehensive resource on bioinformatics for comparative proteomics.” (Omer Iqbal, Doody’s Book Reviews, March, 2012)

• Protein Bioinformatics Databases and Resources.- A Guide to UniProt for Protein Scientists.- InterPro Protein Classification.- Reactome Knowledgebase of Human Biological Pathways and Processes.- eFIP: A Tool for Mining Functional Impact of Phosphorylation from Literature.- A Tutorial on Protein Ontology Resources for Proteomic Studies.- Structure-Guided Rule-Based Annotation of Protein Functional Sites in UniProt Knowledgebase.- Modeling Mass Spectrometry-Based Protein Analysis.- Protein Identification from Tandem Mass Spectra by Database Searching.- LC-MS Data Analysis for Differential Protein Expression Detection.- Protein Identification by Spectral Networks Analysis.- Software Pipeline and Data Analysis for MS/MS Proteomics: The Trans-Proteomic Pipeline.- Analysis of High-Throughput ELISA Microarray Data.- Proteomics Databases and Repositories.- Preparing Molecular Interaction Data for Publication.- Submitting Proteomics Data to PRIDE Using PRIDE ConverterAutomated Data Integrationand Determination of Posttranslational Modifications with the Protein Inference Engine.- An Integrated Top-Down and Bottom-Up Strategy for Broadly Characterizing Protein Isoforms and Modifications.- Phosphoproteome Resource for Systems Biology Research.- Protein-Centric Data Integration for Functional Analysis of Comparative Proteomics Data.- Integration of Proteomic and Metabolomic Profiling as well as Metabolic Modeling for the Functional Analysis of Metabolic Networks.- Time Series Proteome Profiling.