Knowledge Discovery In Proteomics PDF Download
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| Author | : Igor Jurisica |
| Publisher | : CRC Press |
| Total Pages | : 360 |
| Release | : 2005-09-02 |
| Genre | : Computers |
| ISBN | : 1420035169 |
Download Knowledge Discovery in Proteomics Book in PDF, ePub and Kindle
Multi-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality, and large amounts of missing information - these are challenges inherent in modern proteomics. As our understanding of protein structure and function becomes ever more complicated, we have reached a point where
| Author | : Werner Dubitzky |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 300 |
| Release | : 2007-04-13 |
| Genre | : Science |
| ISBN | : 0387475095 |
Download Fundamentals of Data Mining in Genomics and Proteomics Book in PDF, ePub and Kindle
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.
| Author | : Darius M. Dziuda |
| Publisher | : John Wiley & Sons |
| Total Pages | : 348 |
| Release | : 2010-07-16 |
| Genre | : Computers |
| ISBN | : 0470593407 |
Download Data Mining for Genomics and Proteomics Book in PDF, ePub and Kindle
Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.
| Author | : Iulia M. Lazar |
| Publisher | : Humana |
| Total Pages | : 0 |
| Release | : 2018-08-03 |
| Genre | : Medical |
| ISBN | : 9781493984145 |
Download Proteomics for Drug Discovery Book in PDF, ePub and Kindle
This book reflects the drug development community’s interest in proteomics methods by providing researchers with the necessary knowledge for the implementation of a number of basic experimental and bioinformatics protocols in the drug discovery research laboratory. The focus of the collection is on select protocols and methodologies that address the analysis of post-translational modifications, targeted protein quantification, protein-protein, protein-lipid, or protein-ATP interactions, in silico lead identification, protein arrays, tissue and cell extract preparation, labeling, chemoproteomics, and drug efficacy assessment. Emphasis was placed not just on methods that describe large-scale protein analysis, but also on ones that are amenable to future implementation in a high-throughput format. 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. Practical and authoritative, Proteomics for Drug Discovery: Methods and Protocols aims to provide a deep knowledge of the fundamentals of disease biology as well the means that were developed for probing the complex biological milieu.
| Author | : Siegfried Schreuder |
| Publisher | : |
| Total Pages | : 187 |
| Release | : 1989 |
| Genre | : Computer-aided design |
| ISBN | : 9780387516608 |
Download Rechnergestützte Konstruktionsarbeit Book in PDF, ePub and Kindle
| Author | : Susmita Datta |
| Publisher | : Springer |
| Total Pages | : 294 |
| Release | : 2016-12-15 |
| Genre | : Medical |
| ISBN | : 3319458094 |
Download Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry Book in PDF, ePub and Kindle
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.
| Author | : Ingvar Eidhammer |
| Publisher | : John Wiley & Sons |
| Total Pages | : 290 |
| Release | : 2012-12-10 |
| Genre | : Mathematics |
| ISBN | : 111849377X |
Download Computational and Statistical Methods for Protein Quantification by Mass Spectrometry Book in PDF, ePub and Kindle
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.
| Author | : Conrad Bessant |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 429 |
| Release | : 2016-11-15 |
| Genre | : Science |
| ISBN | : 1782626735 |
Download Proteome Informatics Book in PDF, ePub and Kindle
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 | : Daniela Cecconi |
| Publisher | : |
| Total Pages | : 326 |
| Release | : 2021 |
| Genre | : Proteomics |
| ISBN | : 9781071616413 |
Download Proteomics Data Analysis Book in PDF, ePub and Kindle
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 | : Timothy D. Veenstra |
| Publisher | : John Wiley & Sons |
| Total Pages | : 375 |
| Release | : 2013-05-30 |
| Genre | : Science |
| ISBN | : 1118634411 |
Download Proteomic Applications in Cancer Detection and Discovery Book in PDF, ePub and Kindle
Helps researchers in proteomics and oncology work together to understand, prevent, and cure cancer Proteomic data is increasingly important to understanding the origin and progression of cancer; however, most oncologic researchers who depend on proteomics for their studies do not collect the data themselves. As a result, there is a knowledge gap between scientists, who devise proteomic techniques and collect the data, and the oncologic researchers, who are expected to interpret and apply proteomic data. Bridging the gap between proteomics and oncology research, this book explains how proteomic technology can be used to address some of the most important questions in cancer research. Proteomic Applications in Cancer Detection and Discovery enables readers to understand how proteomic data is acquired and analyzed and how it is interpreted. Author Timothy Veenstra has filled the book with examples many based on his own firsthand research experience that clearly demonstrate the application of proteomic technology in oncology research, including the discovery of novel biomarkers for different types of cancers. The book begins with a brief introduction to systems biology, explaining why cancer is a systems biology disease. Next, it covers such topics as: Mass spectrometry in cancer research Application of proteomics to global phosphorylation analysis Search for biomarkers in biofluids Rise and fall of proteomic patterns for cancer diagnostics Emergence of protein arrays Role of proteomics in personalized medicine The final chapter is dedicated to the future prospects of proteomics in cancer research. By guiding readers through the latest proteomic technologies and their applications in cancer research, Proteomic Applications in Cancer Detection and Discovery enhances the ability of researchers in proteomics and researchers in oncology to collaborate in order to better understand cancer and develop strategies to prevent and treat it.
