Analysis of Protein Post-Translational Modifications by Mass Spectrometry PDF Download

Author: John R. Griffiths
Publisher: John Wiley & Sons
ISBN: 1119045851
Category : Science
Languages : en
Pages : 414

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Book Description
Covers all major modifications, including phosphorylation, glycosylation, acetylation, ubiquitination, sulfonation and and glycation Discussion of the chemistry behind each modification, along with key methods and references Contributions from some of the leading researchers in the field A valuable reference source for all laboratories undertaking proteomics, mass spectrometry and post-translational modification research

Author: Daniela Cecconi
Publisher:
ISBN: 9781071616413
Category : Proteomics
Languages : en
Pages : 326

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Book Description
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.

Author: Tutut Herawan
Publisher: Springer Science & Business Media
ISBN: 9814585181
Category : Technology & Engineering
Languages : en
Pages : 728

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Book Description
The proceeding is a collection of research papers presented at the International Conference on Data Engineering 2013 (DaEng-2013), a conference dedicated to address the challenges in the areas of database, information retrieval, data mining and knowledge management, thereby presenting a consolidated view to the interested researchers in the aforesaid fields. The goal of this conference was to bring together researchers and practitioners from academia and industry to focus on advanced on data engineering concepts and establishing new collaborations in these areas. The topics of interest are as follows but are not limited to: • Database theory • Data management • Data mining and warehousing • Data privacy & security • Information retrieval, integration and visualization • Information system • Knowledge discovery in databases • Mobile, grid and cloud computing • Knowledge-based • Knowledge management • Web data, services and intelligence

Author: Marc R. Wilkins
Publisher: Springer Science & Business Media
ISBN: 9783540627531
Category : Medical
Languages : en
Pages : 270

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Book Description
Introduction to the proteome (K. L. Williams, D. F. Hochstrasser). Two-dimensional electrophoresis: the state of the art and future directions (B. R. Herbert, J.-C. Sanchez, L. Bini). large-scale comparative protein modeling ( M. C. Peitsch, N. Guex); Clinical and biomedical applications of proteomics (D. F. Hochstrasser). Biological applications of proteomics (K. L. Williams, V. Pallini). Conclusions (D. F. Hochstrasser, L. Williams). Index.

Author: Age Smilde
Publisher: John Wiley & Sons
ISBN: 0470012102
Category : Science
Languages : en
Pages : 396

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Book Description
This book is an introduction to the field of multi-way analysis for chemists and chemometricians. Its emphasis is on the ideas behind the method and its pratical applications. Sufficient mathematical background is given to provide a solid understanding of the ideas behind the method. There are currently no other books on the market which deal with this method from the viewpoint of its applications in chemistry. Applicable in many areas of chemistry. No comparable volume currently available. The field is becoming increasingly important.

Author: Nader Rifai
Publisher: Elsevier
ISBN: 0128160640
Category : Science
Languages : en
Pages : 218

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Book Description
Principles and Applications of Clinical Mass Spectrometry: Small Molecules, Peptides, and Pathogens is a concise resource for quick implementation of mass spectrometry methods in clinical laboratory work. Focusing on the practical use of these techniques, the first half of the book covers principles of chromatographic separations, principles and types of mass spectrometers, and sample preparation for analysis; the second half outlines the main applications of this technology within clinical laboratory settings, including determination of small molecules and peptides, as well as pathogen identification. A thorough yet succinct guide to using mass spectrometry technology in the clinical laboratory, Principles and Applications of Clinical Mass Spectrometry: Small Molecules, Peptides, and Pathogens is an essential resource for chemists, pharmaceutical and biotech researchers, certain government agencies, and standardization groups. - Provides concrete examples of the main applications of mass spectrometry technology - Describes current capabilities of the LC- and MS-based analytical methods - Details methods for successful analytical work in the field

Author: Conrad Bessant
Publisher: Royal Society of Chemistry
ISBN: 1782626735
Category : Science
Languages : en
Pages : 429

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Book Description
The field of proteomics has developed rapidly over the past decade nurturing the need for a detailed introduction to the various informatics topics that underpin the main liquid chromatography tandem mass spectrometry (LC-MS/MS) protocols used for protein identification and quantitation. Proteins are a key component of any biological system, and monitoring proteins using LC-MS/MS proteomics is becoming commonplace in a wide range of biological research areas. However, many researchers treat proteomics software tools as a black box, drawing conclusions from the output of such tools without considering the nuances and limitations of the algorithms on which such software is based. This book seeks to address this situation by bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, so that users of proteomics data can be confident that they are using appropriate tools in suitable ways.

Author: Giuseppe Ciaburro
Publisher: Packt Publishing Ltd
ISBN: 1788399390
Category : Computers
Languages : en
Pages : 374

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Book Description
Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309142393
Category : Law
Languages : en
Pages : 348

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Book Description
Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.

Author: I.M. Rosenberg
Publisher: Springer Science & Business Media
ISBN: 1475711085
Category : Mathematics
Languages : en
Pages : 453

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Book Description
This book is designed to be a practical progression of experimental techniques an investigator may follow when embarking on a biochemical project. The protocols may be performed in the order laid out or may be used inde pendently. The aim of the book is to assist a wide range of researchers. from the novice to the frustrated veteran, in the choice and design of experiments that are to be performed to provide answers to specific questions. The manual describes standard techniques that have been shown to work, as well as some newer ones that are beginning to prove important. By following the promi nently numbered steps. you can work your way through any protocol. whether it's a new technique or a task you've done before for which you need a quick review or updated methodology. This manual will assist the experimentalist in designing properly controlled experiments. There will be no advice for dealing with specific pieces of equip ment other than encouragement to read the manual, if you can find it. Through out all manipulations try to be objective. Be on the lookout for unexpected findings. You will learn the most from unexpected results. and they are often the beginning of the next project. It is never possible to record too much in your lab notebook. Do not get discouraged. Remember, things will not always run smoothly.