Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.

Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.

Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.

From skillful handling of the wide range of technologies to successful applications in drug discovery -- this handbook has all the information professional proteomics users need. Edited by experts working at one of the hot spots in European proteomic research, the numerous contributions by experts from the pharmaceutical industry and public proteomics consortia to provide the necessary perspective on current trends and developments in this exciting field. Following an introductory chapter, the book moves on to proteomic technologies, such as protein biochips, protein-protein interactions, and proteome analysis in situ. The section on applications includes bioinformatics, Alzheimer''s disease, neuroproteomics, plasma and T-cell proteomics, differential phosphoproteome analysis and biomarkers, as well as pharmacogenomics. Invaluable reading for medicinal and pharmaceutical chemists, gene technologists, molecular biologists, and those working in the pharmaceutical industry.

This timely guide to kinase inhibitor drug development is the first to cover the entire drug pipeline, from target identification to compound development and clinical application. Edited by the pioneers in the field, on the drug development side this ready reference discusses classical medicinal chemistry approaches as well as current chemical genomics strategies. On the clinical side, both current and future therapeutic application areas for kinase inhibitor drugs are addressed, with a strong focus on oncology drugs. Backed by recent clinical experience with first-generation drugs in the battle against various forms of cancer, this is crucial reading for medicinal, pharmaceutical and biochemists, molecular biologists, and oncologists, as well as those working in the pharmaceutical industry.

Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.

Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.

Through the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation. In Data Mining in Proteomics: From Standards to Applications, experts in the field present these new insights within the proteomics community, taking the historical evolution as well as the most important international standardization projects into account. Along with basic and sophisticated overviews of proteomics technologies, standard data formats, and databases, the volume features chapters on data interpretation strategies including statistics, spectra interpretation, and analysis environments as well as specialized tasks such as data annotation, peak picking, phosphoproteomics, spectrum libraries, LC/MS imaging, and splice isoforms. As a part of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.Authoritative and cutting-edge, Data Mining in Proteomics: From Standards to Applications is a well-balanced compendium for beginners and experts, offering a broad scope of data mining topics but always focusing on the current state-of-the-art and beyond.

From skillful handling of the wide range of technologies to successful applications in drug discovery -- this handbook has all the information professional proteomics users need. Edited by experts working at one of the hot spots in European proteomic research, the numerous contributions by experts from the pharmaceutical industry and public proteomics consortia to provide the necessary perspective on current trends and developments in this exciting field. Following an introductory chapter, the book moves on to proteomic technologies, such as protein biochips, protein-protein interactions, and proteome analysis in situ. The section on applications includes bioinformatics, Alzheimer''s disease, neuroproteomics, plasma and T-cell proteomics, differential phosphoproteome analysis and biomarkers, as well as pharmacogenomics. Invaluable reading for medicinal and pharmaceutical chemists, gene technologists, molecular biologists, and those working in the pharmaceutical industry.

This timely guide to kinase inhibitor drug development is the first to cover the entire drug pipeline, from target identification to compound development and clinical application. Edited by the pioneers in the field, on the drug development side this ready reference discusses classical medicinal chemistry approaches as well as current chemical genomics strategies. On the clinical side, both current and future therapeutic application areas for kinase inhibitor drugs are addressed, with a strong focus on oncology drugs. Backed by recent clinical experience with first-generation drugs in the battle against various forms of cancer, this is crucial reading for medicinal, pharmaceutical and biochemists, molecular biologists, and oncologists, as well as those working in the pharmaceutical industry.