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.