Mass Spectrometry Data Analysis in Proteomics, Rune Matthiesen

Автор: Rune Matthiesen
Название: Mass Spectrometry Data Analysis in Proteomics
ISBN: 1617376442 ISBN-13(EAN): 9781617376443
Издательство: Springer
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Цена: 25853.00 р.
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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: Rune Matthiesen
Название: Mass Spectrometry Data Analysis in Proteomics
ISBN: 1627033912 ISBN-13(EAN): 9781627033916
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This Methods in Molecular Biology (TM) book covers mass spectrometry data analysis in quantitative proteomics, post translational modification, HX-MS, glycomics, and data exchange standards. Includes materials lists, reproducible protocols, tips and more.

Автор: Matthiesen Rune
Название: Mass Spectrometry Data Analysis in Proteomics
ISBN: 158829563X ISBN-13(EAN): 9781588295637
Издательство: Springer
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Цена: 23757.00 р.
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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.

Автор: Salvatore Sechi
Название: Quantitative Proteomics by Mass Spectrometry
ISBN: 1493935224 ISBN-13(EAN): 9781493935222
Издательство: Springer
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Цена: 19564.00 р.
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Описание:

This volume describes prominent methodologies developed by laboratories that have been leading the field of quantitative proteomics by mass spectrometry. The procedures for performing the experiments are described in an easy-to-understand manner with many technical details that usually are not reported in typical research articles. This second edition of Quantitative Proteomics by Mass Spectrometry provides a broad perspective of the methodologies used for quantifying proteins and post-translational modifications in different types of biomedical specimens. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and thorough, Quantitative Proteomics by Mass Spectrometry, Second Edition is a valuable resource to help researchers understand and learn about the latest tools used in the study of quantitative proteomics by mass spectrometry.

Автор: Salvatore Sechi
Название: Quantitative Proteomics by Mass Spectrometry
ISBN: 1617376485 ISBN-13(EAN): 9781617376481
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This volume is a compendium of cutting-edge protocols for quantitative proteomics, and presents the most significant methods used in the field today. Attention is given to state-of-the-art techniques for the characterization of the phosphoproteome and tandem MS for detection of inborn errors of metabolism.

Автор: Sechi Salvatore
Название: Quantitative Proteomics by Mass Spectrometry
ISBN: 1588295710 ISBN-13(EAN): 9781588295712
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This volume is a compendium of cutting-edge protocols for quantitative proteomics, and presents the most significant methods used in the field today. Attention is given to state-of-the-art techniques for the characterization of the phosphoproteome and tandem MS for detection of inborn errors of metabolism.

Автор: Werner Dubitzky; Martin Granzow; Daniel P. Berrar
Название: Fundamentals of Data Mining in Genomics and Proteomics
ISBN: 1441942912 ISBN-13(EAN): 9781441942913
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics.