Computational Methods for Mass Spectrometry Proteomics

Computational Methods for Mass Spectrometry Proteomics

Author: Ingvar Eidhammer

Publisher: John Wiley & Sons

Published: 2008-02-28

Total Pages: 296

ISBN-13: 9780470724293

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Proteomics is the study of the subsets of proteins present in different parts of an organism and how they change with time and varying conditions. Mass spectrometry is the leading technology used in proteomics, and the field relies heavily on bioinformatics to process and analyze the acquired data. Since recent years have seen tremendous developments in instrumentation and proteomics-related bioinformatics, there is clearly a need for a solid introduction to the crossroads where proteomics and bioinformatics meet. Computational Methods for Mass Spectrometry Proteomics describes the different instruments and methodologies used in proteomics in a unified manner. The authors put an emphasis on the computational methods for the different phases of a proteomics analysis, but the underlying principles in protein chemistry and instrument technology are also described. The book is illustrated by a number of figures and examples, and contains exercises for the reader. Written in an accessible yet rigorous style, it is a valuable reference for both informaticians and biologists. Computational Methods for Mass Spectrometry Proteomics is suited for advanced undergraduate and graduate students of bioinformatics and molecular biology with an interest in proteomics. It also provides a good introduction and reference source for researchers new to proteomics, and for people who come into more peripheral contact with the field.


Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

Author: Ingvar Eidhammer

Publisher: John Wiley & Sons

Published: 2012-12-10

Total Pages: 290

ISBN-13: 111849377X

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The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author’s carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs. Is illustrated by a large number of figures and examples as well as numerous exercises. Provides both clear and rigorous descriptions of methods and approaches. Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work. Features detailed discussions of both wet-lab approaches and statistical and computational methods. With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field.


Mass Spectrometry Data Analysis in Proteomics

Mass Spectrometry Data Analysis in Proteomics

Author: Rune Matthiesen

Publisher:

Published: 2013

Total Pages: 405

ISBN-13: 9781627033923

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Since the publishing of the first edition, the methodologies and instrumentation involved in the field of mass spectrometry-based proteomics has improved considerably. Fully revised and expanded, Mass Spectrometry Data Analysis in Proteomics, Second Edition presents expert chapters on specific MS-based methods or data analysis strategies in proteomics. The volume covers data analysis topics relevant for quantitative proteomics, post translational modification, HX-MS, glycomics, and data exchange standards, among other topics. Written in the highly successful Methods in Molecular Biology series format, chapters include brief introductions to their respective subjects, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Updated and authoritative, Mass Spectrometry Data Analysis in Proteomics, Second Edition serves as a detailed guide for all researchers seeking to further our knowledge in the field of proteomics.


Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry

Author: Susmita Datta

Publisher: Springer

Published: 2016-12-15

Total Pages: 294

ISBN-13: 3319458094

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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.


Proteomics Data Analysis

Proteomics Data Analysis

Author: Daniela Cecconi

Publisher:

Published: 2021

Total Pages: 326

ISBN-13: 9781071616413

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This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.


Epigenetics and Proteomics of Leukemia

Epigenetics and Proteomics of Leukemia

Author: R ̄uta Navakauskien ̇e

Publisher: Springer Nature

Published: 2021-09-14

Total Pages: 453

ISBN-13: 3030687082

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This book reviews the current state of epigenetics and proteomics of leukemia and introduces the methods that are important to process and evaluate these factors in leukemia. In particular, epigenetic modifiers and their inhibitors in leukemia treatment as well as approaches to the epigenetic treatment of leukemia are covered. Various computational methods for proteome analysis are also described in detail, including 2DE fractionation and visualization, proteomic data processing, image acquisition and data anlaysis, and more. Protein localization in leukemia is also covered, in addition to the future of leukemia therapy. Epigenetics and Proteomics of Leukemia is an ideal book for advanced biomedical scientists and students, medical doctors and students, bioinformatics and health informatics researchers, computational biologists, structural biologists, systems biologists, and bioengineers.


Protein and Peptide Analysis by Mass Spectrometry

Protein and Peptide Analysis by Mass Spectrometry

Author: J. R. Chapman

Publisher: Springer Science & Business Media

Published: 1996-08-19

Total Pages: 368

ISBN-13:

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Leading practitioners authoritatively describe the newest and most effective spectrometric techniques for the analysis of proteins and peptides. The areas covered range from the elucidation of primary and secondary protein structure and the rapid identification of proteins using database techniques to methods for sequencing, as well as methods for the quantitative determination of peptides. Other chapters provide detailed information on the analysis of glycoproteins and glycopeptides and on the use of mass spectrometry to probe the interactions of proteins, both covalent and noncovalent.


Computational Biology

Computational Biology

Author: Ralf Blossey

Publisher: CRC Press

Published: 2006-05-25

Total Pages: 276

ISBN-13: 1420010786

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Quantitative methods have a particular knack for improving any field they touch. For biology, computational techniques have led to enormous strides in our understanding of biological systems, but there is still vast territory to cover. Statistical physics especially holds great potential for elucidating the structural-functional relationships in bi


Proteomic and Metabolomic Approaches to Biomarker Discovery

Proteomic and Metabolomic Approaches to Biomarker Discovery

Author: Haleem J. Issaq

Publisher: Academic Press

Published: 2013-05-20

Total Pages: 489

ISBN-13: 0123947952

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Proteomic and Metabolomic Approaches to Biomarker Discovery demonstrates how to leverage biomarkers to improve accuracy and reduce errors in research. Disease biomarker discovery is one of the most vibrant and important areas of research today, as the identification of reliable biomarkers has an enormous impact on disease diagnosis, selection of treatment regimens, and therapeutic monitoring. Various techniques are used in the biomarker discovery process, including techniques used in proteomics, the study of the proteins that make up an organism, and metabolomics, the study of chemical fingerprints created from cellular processes. Proteomic and Metabolomic Approaches to Biomarker Discovery is the only publication that covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods, and presents a standard operating procedure for sample selection, preparation, and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. A vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals, and graduate students, Proteomic and Metabolomic Approaches to Biomarker Discovery provides the information needed to reduce clinical error in the execution of research. - Describes the use of biomarkers to reduce clinical errors in research - Includes techniques from a range of biomarker discoveries - Covers all steps involved in biomarker discovery, from study design to study execution


LC-MS/MS in Proteomics

LC-MS/MS in Proteomics

Author: Pedro R. Cutillas

Publisher: Humana Press

Published: 2011-04-06

Total Pages: 330

ISBN-13: 9781607617815

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With the development of new quantitative strategies and powerful bioinformatics tools to cope with the analysis of the large amounts of data generated in proteomics experiments, liquid chromatography with tandem mass spectrometry (LC-MS/MS) is making possible the analysis of proteins on a global scale, meaning that proteomics can now start competing with cDNA microarrays for the analysis of whole genomes. In LC-MS/MS in Proteomics: Methods and Applications, experts in the field provide protocols and up-to-date reviews of the applications of LC-MS/MS, with a particular focus on MS-based methods of protein and peptide quantification and the analysis of post-translational modifications. Beginning with overviews of the use of LC-M/MS in protein analysis, the book continues with topics such as protocols for the analysis of post-translational modifications, with particular focus on phosphorylation and glycosylation, popular techniques for quantitative proteomics, such as multiple reaction monitoring, metabolic labelling, and chemical tagging, biomarker discovery in biological fluids, as well as novel applications of LC-MS/MS. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective subjects, lists of necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, LC-MS/MS in Proteomics: Methods and Applications presents the techniques and concepts necessary in order to aid proteomic practitioners in the application of LC-MS/MS to essentially any biological problem.