Описание: This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the new omic sciences. The text discusses common aspects of design and analysis between and across all (or most) forms of mass spectrometry, while also providing special examples of application with the most common forms of mass spectrometry. Also covered are applications of computational mass spectrometry not only in clinical study but also in the interpretation of omics data in plant biology studies.Omics research fields are expected to revolutionize biomolecular research by the ability to simultaneously profile many compounds within either patient blood, urine, tissue, or other biological samples. Mass spectrometry is one of the key analytical techniques used in these new omic sciences. Liquid chromatography mass spectrometry, time-of-flight data, and Fourier transform mass spectrometry are but a selection of the measurement platforms available to the modern analyst. Thus in practical proteomics or metabolomics, researchers will not only be confronted with new high dimensional data types—as opposed to the familiar data structures in more classical genomics—but also with great variation between distinct types of mass spectral measurements derived from different platforms, which may complicate analyses, comparison, and interpretation of results.
Автор: Babak Arjmand Название: Genomics, Proteomics, and Metabolomics ISBN: 3030277291 ISBN-13(EAN): 9783030277291 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides thorough coverage of high-throughput OMICs technologies for the monitoring of stem cells and regenerative medicine. Specific topics covered include the genomics, proteomics, and metabolomics aspects of regenerative medicine, metabolic profiling of mesenchymal stem cells, genome profiling of mesenchymal stem cells, OMICs monitoring of stem cell-derived exosomes, stem cell proteomics, lipidomics, OMICs profiling of cancer (stem) cells, and finally ethical considerations of OMICs-based investigations. Chapters are authored by world-renowned scientists who have valuable expertise in the field of OMICs and regenerative medicine. Genomics, Proteomics, and Metabolomics: Stem Cells Monitoring in Regenerative Medicine, part of Springer’s Stem Cell Biology and Regenerative Medicine series, is essential reading for researchers, clinicians, biologists, biochemists, and pharmaceutical experts conducting research in the fields of stem cell biology, molecular aspects of stem cell research, tissue engineering, regenerative medicine, cellular therapy, OMICs, bioinformatics, and ethics.
Автор: Matthiesen Rune Название: Mass Spectrometry Data Analysis in Proteomics ISBN: 158829563X ISBN-13(EAN): 9781588295637 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Aims to support researchers in deciding which programs to use in various tasks related to analysis of mass spectrometry data in proteomics. This work covers chapters that give a description of the theoretical background of each topic followed by descriptions of programs and the parameters best suited for different cases.
Описание: This book provides a comprehensive guide to scientists, engineers, and students that employ metabolomics in their work, with an emphasis on the understanding and interpretation of the data. Chapters guide readers through common tools for data processing, using database resources, major techniques in data analysis, and integration with other data types and specific scientific domains. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, practical guidance of methods and techniques, useful web supplements, and connect the steps from experimental metabolomics to scientific discoveries. Authoritative and cutting-edge, Computational Methods and Data Analysis for Metabolomics to ensure successful results in the further study of this vital field.
Автор: Rune Matthiesen Название: Mass Spectrometry Data Analysis in Proteomics ISBN: 1617376442 ISBN-13(EAN): 9781617376443 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters.
Автор: Babak Arjmand Название: Genomics, Proteomics, and Metabolomics ISBN: 3030277267 ISBN-13(EAN): 9783030277260 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides thorough coverage of high-throughput OMICs technologies for the monitoring of stem cells and regenerative medicine. Specific topics covered include the genomics, proteomics, and metabolomics aspects of regenerative medicine, metabolic profiling of mesenchymal stem cells, genome profiling of mesenchymal stem cells, OMICs monitoring of stem cell-derived exosomes, stem cell proteomics, lipidomics, OMICs profiling of cancer (stem) cells, and finally ethical considerations of OMICs-based investigations. Chapters are authored by world-renowned scientists who have valuable expertise in the field of OMICs and regenerative medicine. Genomics, Proteomics, and Metabolomics: Stem Cells Monitoring in Regenerative Medicine, part of Springer’s Stem Cell Biology and Regenerative Medicine series, is essential reading for researchers, clinicians, biologists, biochemists, and pharmaceutical experts conducting research in the fields of stem cell biology, molecular aspects of stem cell research, tissue engineering, regenerative medicine, cellular therapy, OMICs, bioinformatics, and ethics.
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