Download or read book Statistical Methods for Interpretation of High Resolution Mass Spectra written by Parminder Kaur and published by . This book was released on 2007 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein study experiments generate thousands of mass spectra, generating an overload of data that necessitates the development of sophisticated data analysis methods. Our work aims at developing the following methods that allow for extraction of biochemically relevant information from mass spectra.

Download or read book Computational and Statistical Methods for Protein Quantification by Mass Spectrometry written by Ingvar Eidhammer and published by John Wiley & Sons. This book was released on 2012-12-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Statistical Analysis of Proteomics Metabolomics and Lipidomics Data Using Mass Spectrometry written by Susmita Datta and published by Springer. This book was released on 2016-12-15 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Statistical Methods for the Analysis of Mass Spectrometry Data written by Yuping Wu (Ph. D.) and published by . This book was released on 2006 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Analysis of Mass Spectrometry Data written by Suaad Omran S. Ben-Farag and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proteomics Data Analysis written by Daniela Cecconi and published by . This book was released on 2021 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book High Resolution Mass Spectroscopy for Phytochemical Analysis written by Sreeraj Gopi and published by CRC Press. This book was released on 2021-09-30 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume provides a bird’s-eye view of the properties, utilization, and importance of high resolution mass spectrometry (HRMS) for phytochemical analysis. The book discusses the new and state-of-the-art technologies related to HRMS in phytochemical analysis for the food industry in a comprehensive manner. Phytochemical characterization of plants is important in the food and nutraceutical industries and is also necessary in the procedures followed for drug development, toxicology determination, forensic studies, origin verification, quality assurance, etc. Easy determination of active compounds and isolation as well as purification of the same from natural matrices are required, and the possibilities and advantages of HRMS pave the way for improved analysis patterns in phytochemistry. This book is unique in that its sole consideration is on the importance of HRMS in the field of phytochemical analysis. Along with an overview of basic instrumental information, the volume provides a detailed account of data processing and dereplication strategies. Technologies such as bioanalytical techniques and bioassays are considered also to provide support for the functions of the instruments used. In addition, a case study is presented to depict the complete phytochemical characterization of a matrix by HRMS. The book covers processing and computational techniques, dereplication, hyphenation, high-resolution bioassays, bioanalytical screening/purification techniques, applications of gas chromatography–high-resolution mass spectrometry, and more. Key features: Covers the fundamental instrumentation and techniques Discusses HRMS-based phytochemical research details Focuses strictly on the phytochemical considerations High-Resolution Mass Spectroscopy for Phytochemical Analysis: State-of-the-Art Applications and Techniques will be a valuable reference guide and resource for researchers, faculty and students in related fields, as well as those in the phytochemical industries.

Download or read book Introduction to Mass Spectrometry written by J. Throck Watson and published by John Wiley & Sons. This book was released on 2013-07-09 with total page 972 pages. Available in PDF, EPUB and Kindle. Book excerpt: Completely revised and updated, this text provides an easy-to-read guide to the concept of mass spectrometry and demonstrates its potential and limitations. Written by internationally recognised experts and utilising "real life" examples of analyses and applications, the book presents real cases of qualitative and quantitative applications of mass spectrometry. Unlike other mass spectrometry texts, this comprehensive reference provides systematic descriptions of the various types of mass analysers and ionisation, along with corresponding strategies for interpretation of data. The book concludes with a comprehensive 3000 references. This multi-disciplined text covers the fundamentals as well as recent advance in this topic, providing need-to-know information for researchers in many disciplines including pharmaceutical, environmental and biomedical analysis who are utilizing mass spectrometry

Download or read book Data Reduction and Interpretation Techniques for Deriving Chemical Information from High Resolution Mass Spectra written by Richard Michael Hilmer and published by . This book was released on 1973 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Modeling for the Analysis of High resolution Mass Spectrometry Data written by Qi Zhu and published by . This book was released on 2010 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Development of Direct Analysis in Real Time high Resolution Mass Spectrometry DART HRMS and Statistical Analysis Tools for the Identification and Classification of Psychoactive Plant Drugs written by Ashton D. Lesiak and published by . This book was released on 2016 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Inference and Classification for Mass Spectrometry MS Data written by Mourad Atlas and published by . This book was released on 2009 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mass spectrometry has emerged as a core technology for high throughput proteomics profiling in biomedical research. However, the complexity of the data poses new statistical challenges for the analysis. Statistical methods and software developments for analyzing proteomics data are likely to continue as a major area of research in the coming years. In this dissertation, we develop a novel statistical method for analyzing MS data. We propose to use the chemical knowledge regarding isotopic distribution of the peptide molecules along with quantitative modeling to detect chemically valuable peaks from each spectrum. More specifically, a mixture of location-shifted Poisson distribution is fitted to the deamidated isotopic distribution of a peptide molecule in low to moderate molecular weight of the mass spectrum. Maximum likelihood estimation by the expectation-maximization (EM) technique is used to estimate the parameters of the distribution. We then identify the monoisotopic peaks of the spectrum through formal statistical hypotheses testing procedures. Unlike low to moderate range MS data a Poisson distribution is not suitable for high mass ranges of the spectrum data due to symmetric nature of the isotopic distribution. Also, due to preprocessing and pronounced effect of the additional sources of variability, a Poisson approximation to the binomial model to the isotopic distribution may not hold. Therefore, a mixture of location-shifted Normal model is fitted to model each of the deamidated (possibly) isotopic distribution of a mass spectrum. A nonlinear optimization method to maximize the observed data likelihood is applied instead of EM algorithm to estimate the parameters of the distribution. Similar statistical testing procedures are applied for the peak detection method. A study of the effectiveness of our features selection method compared to some other relatively new feature selection methods in classifying case and control samples is explored. Superiority of our method is established in terms of the overall classification accuracy, sensitivity, specificity and area under the receptor operative curve (ROC) curve.

Download or read book Computational and Statistical Methods for Mass Spectrometry Data Analysis written by Mateusz Łącki and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Słowa kluczowe: obliczeniowa spektrometria mas, modelowanie dysocjacji indukowanej transferem elektronu, obliczenia dokładnej struktury izotopowej, statystyczne modelowanie dekonwolucji sygnału w spektrometrii mas, computational mass spectrometry, modelling electron transfer dissociation, calculations of the isotopic fine structure, statistical model of signal deconvolution in mass spectrometry.

Download or read book High Resolution Mass Spectrometry and Its Diverse Applications written by Sreeraj Gopi and published by CRC Press. This book was released on 2022-12-22 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This informative book offers a wide range of knowledge on the technologies and applications of the cutting-edge field of high-resolution mass spectrometry (HRMS) in different areas of analysis. HRMS has changed the nature of experimentation and investigation in so many analytical realms. Determining exact mass determination, high resolution, and specificity—via the special features provided by HRMS instruments—is now possible for determining the composition of the analyte of interest, both qualitatively and quantitatively. High-Resolution Mass Spectrometry and Its Diverse Applications: Cutting-Edge Techniques and Instrumentation begins with an overview of the basic instrumentation techniques and goes on to present research on diverse new uses of HRMS in clinical testing, such as for therapeutic drug designing, discovery, and development; in forensic studies and investigations; in quality management systems; for analysis of pesticides; for analysis of single cells; in analysis of fossil fuels; for use in space and planetary science; and more. Chapters relay how HRMS plays an important role in the structure elucidation and unknown determination in many fields and is a great measure to be used for quantitative analyses. The book considers how these properties make the technique a strong aid in many areas. This volume highlights how HRMS can be a useful tool for scientists and researchers, faculty and students, and industry professionals in many scientific areas of study.

Download or read book Statistical Analysis of Proteomic Mass Spectrometry Data written by Kelly Handley and published by . This book was released on 2007 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Trace Quantitative Analysis by Mass Spectrometry written by Robert K. Boyd and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 1179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a serious introduction to the subject of mass spectrometry, providing the reader with the tools and information to be well prepared to perform such demanding work in a real-life laboratory. This essential tool bridges several subjects and many disciplines including pharmaceutical, environmental and biomedical analysis that are utilizing mass spectrometry: Covers all aspects of the use of mass spectrometry for quantitation purposes Written in textbook style to facilitate understanding of this topic Presents fundamentals and real-world examples in a ‘learning-though-doing’ style

Download or read book Interpretation of MS MS Mass Spectra of Drugs and Pesticides written by Wilfried M. A. Niessen and published by John Wiley & Sons. This book was released on 2017-01-03 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides comprehensive coverage of the interpretation of LC–MS–MS mass spectra of 1300 drugs and pesticides Provides a general discussion on the fragmentation of even-electron ions (protonated and deprotonated molecules) in both positive-ion and negative-ion modes This is the reference book for the interpretation of MS–MS mass spectra of small organic molecules Covers related therapeutic classes of compounds such as drugs for cardiovascular diseases, psychotropic compounds, drugs of abuse and designer drugs, antimicrobials, among many others Covers general fragmentation rule as well as specific fragmentation pathways for many chemical functional groups Gives an introduction to MS technology, mass spectral terminology, information contained in mass spectra, and to the identification strategies used for different types of unknowns