Computational Methods For Mass Spectrometry Proteomics


Computational Methods For Mass Spectrometry Proteomics
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Computational Methods For Mass Spectrometry Proteomics


Computational Methods For Mass Spectrometry Proteomics
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Author : Ingvar Eidhammer
language : en
Publisher: John Wiley & Sons
Release Date : 2008-02-28

Computational Methods For Mass Spectrometry Proteomics written by Ingvar Eidhammer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-28 with Medical categories.


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
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Author : Ingvar Eidhammer
language : en
Publisher: John Wiley & Sons
Release Date : 2012-12-10

Computational And Statistical Methods For Protein Quantification By Mass Spectrometry written by Ingvar Eidhammer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-10 with Mathematics categories.


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.



Novel Computational Techniques In Mass Spectrometry Based Proteomics


Novel Computational Techniques In Mass Spectrometry Based Proteomics
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Author : Lukas Mueller
language : en
Publisher:
Release Date : 2011-07

Novel Computational Techniques In Mass Spectrometry Based Proteomics written by Lukas Mueller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07 with Mass spectrometry categories.




Mass Spectrometry Data Analysis In Proteomics


Mass Spectrometry Data Analysis In Proteomics
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Author : Rune Matthiesen
language : en
Publisher: Humana
Release Date : 2019-10-01

Mass Spectrometry Data Analysis In Proteomics written by Rune Matthiesen and has been published by Humana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Science categories.


The aim of this new edition is to provide detailed information on each topic and present novel ideas and views that can influence future developments in mass spectrometry-based proteomics. In contrast to the previous editions, this third edition aims to provide the most relevant computational methods, focusing on computational concepts. 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 cutting-edge, Mass Spectrometry Data Analysis in Proteomics, Third Edition to ensure successful results in the further study of this vital field.



Statistical Analysis Of Proteomics Metabolomics And Lipidomics Data Using Mass Spectrometry


Statistical Analysis Of Proteomics Metabolomics And Lipidomics Data Using Mass Spectrometry
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Author : Susmita Datta
language : en
Publisher: Springer
Release Date : 2016-12-15

Statistical Analysis Of Proteomics Metabolomics And Lipidomics Data Using Mass Spectrometry written by Susmita Datta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-15 with Medical categories.


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.



Protein Bioinformatics


Protein Bioinformatics
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Author : Cathy H. Wu
language : en
Publisher:
Release Date : 2017

Protein Bioinformatics written by Cathy H. Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Bioinformatics categories.


"This volume introduces bioinformatics research methods for proteins, with special focus on protein post-translational modifications (PTMs) and networks. This book is organized into four parts and covers the basic framework and major resources for analysis of protein sequence, structure, and function; approaches and resources for analysis of protein PTMs, protein-protein interactions (PPIs) and protein networks, including tools for PPI prediction and approaches for the construction of PPI and PTM networks; and bioinformatics approaches in proteomics, including computational methods for mass spectrometry-based proteomics and integrative analysis for alternative splice isoforms, for functional discovery. 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 or computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Protein Bioinformatics: From Protein Modifications and Networks to Proteomics is a valuable resource for readers who wish to learn about state-of-the-art bioinformatics databases and tools, novel computational methods, and future trends in protein and proteomic data analysis in systems biology. This book is useful to researchers who work in the biotechnology and pharmaceutical industries, and in various academic departments, such as biological and medical sciences and computer sciences and engineering." -- OCLC.



Mass Spectrometry Data Analysis In Proteomics


Mass Spectrometry Data Analysis In Proteomics
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Author : Rune Matthiesen
language : en
Publisher:
Release Date : 2013

Mass Spectrometry Data Analysis In Proteomics written by Rune Matthiesen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Mass spectrometry categories.


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.



Computational Methods For Predicting Post Translational Modification Sites


Computational Methods For Predicting Post Translational Modification Sites
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Author : Dukka B. KC
language : en
Publisher: Springer Nature
Release Date : 2022-06-13

Computational Methods For Predicting Post Translational Modification Sites written by Dukka B. KC and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-13 with Science categories.


This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.



Mass Spectrometry Of Proteins


Mass Spectrometry Of Proteins
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Author : Caroline A. Evans
language : en
Publisher:
Release Date : 2019

Mass Spectrometry Of Proteins written by Caroline A. Evans and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Proteins categories.




High Performance Algorithms For Mass Spectrometry Based Omics


High Performance Algorithms For Mass Spectrometry Based Omics
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Author : Fahad Saeed
language : en
Publisher: Springer Nature
Release Date : 2022-09-02

High Performance Algorithms For Mass Spectrometry Based Omics written by Fahad Saeed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-02 with Science categories.


To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods. Mass spectrometry is a diverse and versatile technology for high-throughput functional characterization of proteins, small molecules and metabolites in complex biological mixtures. In the recent years the technology has rapidly evolved and is now capable of generating increasingly large (multiple tera-bytes per experiment) and complex (multiple species/microbiome/high-dimensional) data sets. This rapid advance in MS instrumentation must be matched by equally fast and rapid evolution of scalable methods developed for analysis of these complex data sets. Ideally, the new methods should leverage the rich heterogeneous computational resources available in a ubiquitous fashion in the form of multicore, manycore, CPU-GPU, CPU-FPGA, and IntelPhi architectures. The absence of these high-performance computing algorithms now hinders scientific advancements for mass spectrometry research. In this book we illustrate the need for high-performance computing algorithms for MS based proteomics, and proteogenomics and showcase our progress in developing these high-performance algorithms.