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.

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.

A Practical Guide To Cancer Systems Biology
A Practical Guide To Cancer Systems Biology

Author: Hsueh-fen Juan

Publisher: World Scientific

Published: 2017-11-29

Total Pages: 153

ISBN-13: 9813229160

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Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research.

Mass Spectrometry Data Analysis in Proteomics
Mass Spectrometry Data Analysis in Proteomics

Author: Rune Matthiesen

Publisher: Springer Science & Business Media

Published: 2008-02-02

Total Pages: 322

ISBN-13: 1597452750

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This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. The volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. 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.

Introducing Proteomics
Introducing Proteomics

Author: Josip Lovric

Publisher: John Wiley & Sons

Published: 2011-06-17

Total Pages: 310

ISBN-13: 1119957192

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Introducing Proteomics gives a concise and coherent overview of every aspect of current proteomics technology, which is a rapidly developing field that is having a major impact within the life and medical sciences. This student-friendly book, based on a successful course developed by the author, provides its readers with sufficient theoretical background to be able to plan, prepare, and analyze a proteomics study. The text covers the following: Separation Technologies Analysis of Peptides/Proteins by Mass Spectrometry Strategies in Proteomics This contemporary text also includes numerous examples and explanations for why particular strategies are better than others for certain applications. In addition, Introducing Proteomics includes extensive references and a list of relevant proteomics information sources; essential for any student. This no-nonsense approach to the subject tells students exactly what they need to know, leaving out unnecessary information. The student companion site enhances learning and provides answers to the end of chapter problems. "I think this book will be a popular and valuable resource for students and newcomers to the field who would like to have an overview and initial understanding of what proteomics is about. The contents are well organized and address the major issues." —Professor Walter Kolch, Director, Systems Biology Ireland & Conway Institute, University College Dublin Companion Website www.wiley.com/go/lovric

Data Analysis and Visualization in Genomics and Proteomics
Data Analysis and Visualization in Genomics and Proteomics

Author: Francisco Azuaje

Publisher: John Wiley & Sons

Published: 2005-06-24

Total Pages: 284

ISBN-13: 0470094400

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Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approaches This book provides scientists and students with the basis for the development and application of integrative computational methods to analyse biological data on a systemic scale Places emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems

Processing Metabolomics and Proteomics Data with Open Software
Processing Metabolomics and Proteomics Data with Open Software

Author: Robert Winkler

Publisher: Royal Society of Chemistry

Published: 2020-03-19

Total Pages: 460

ISBN-13: 1788017218

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Metabolomics and proteomics allow deep insights into the chemistry and physiology of biological systems. This book expounds open-source programs, platforms and programming tools for analysing metabolomics and proteomics mass spectrometry data. In contrast to commercial software, open-source software is created by the academic community, which facilitates the direct interaction between users and developers and accelerates the implementation of new concepts and ideas. The first section of the book covers the basics of mass spectrometry, experimental strategies, data operations, the open-source philosophy, metabolomics, proteomics and statistics/ data mining. In the second section, active programmers and users describe available software packages. Included tutorials, datasets and code examples can be used for training and for building custom workflows. Finally, every reader is invited to participate in the open science movement.

Fundamentals of Data Mining in Genomics and Proteomics
Fundamentals of Data Mining in Genomics and Proteomics

Author: Werner Dubitzky

Publisher: Springer Science & Business Media

Published: 2007-04-13

Total Pages: 300

ISBN-13: 0387475095

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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. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.

Quantitative Proteome Analysis
Quantitative Proteome Analysis

Author: Kazuhiro Imai

Publisher: CRC Press

Published: 2013-08-05

Total Pages: 314

ISBN-13: 9814316512

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This book focuses on the advantages and disadvantages of each of the commonly used quantitative proteomic methods in terms of accuracy, sensitivity, and reproducibility. It also concentrates on the effective applications of these methods that resulted in many discoveries of the role of the proteins expressed in living cells and biological fluids. The first part of the book focuses on the description of advantages and disadvantages of each of the commonly used quantitative proteomic methods in terms of accuracy, sensitivity, and, especially, reproducibility. The second part of the book focuses on providing concise descriptions of the effective applications of these methods to demonstrate how they have resulted in many important discoveries of the roles of the proteins expressed in living cells.