Computational And Statistical Methods For Protein Quantification By Mass Spectrometry

Author: Ingvar Eidhammer
Editor: John Wiley & Sons
ISBN: 111849377X
Size: 18,78 MB
Format: PDF, Docs
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The definitive introduction to data analysis in quantitativeproteomics This book provides all the necessary knowledge about massspectrometry based proteomics methods and computational andstatistical approaches to pursue the planning, design and analysisof quantitative proteomics experiments. The author’scarefully constructed approach allows readers to easily make thetransition into the field of quantitative proteomics. Throughdetailed descriptions of wet-lab methods, computational approachesand statistical tools, this book covers the full scope of aquantitative experiment, allowing readers to acquire new knowledgeas well as acting as a useful reference work for more advancedreaders. Computational and Statistical Methods for ProteinQuantification by Mass Spectrometry: Introduces the use of mass spectrometry in proteinquantification and how the bioinformatics challenges in this fieldcan be solved using statistical methods and various softwareprograms. Is illustrated by a large number of figures and examples aswell as numerous exercises. Provides both clear and rigorous descriptions of methods andapproaches. Is thoroughly indexed and cross-referenced, combining thestrengths of a text book with the utility of a reference work. Features detailed discussions of both wet-lab approaches andstatistical and computational methods. With clear and thorough descriptions of the various methods andapproaches, this book is accessible to biologists, informaticians,and statisticians alike and is aimed at readers across the academicspectrum, from advanced undergraduate students to post doctoratesentering the field.

Statistical Analysis Of Proteomics Metabolomics And Lipidomics Data Using Mass Spectrometry

Author: Susmita Datta
Editor: Springer
ISBN: 3319458094
Size: 16,46 MB
Format: PDF, ePub, Mobi
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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.

Systems Biology In Toxicology And Environmental Health

Author: Rebecca Fry
Editor: Academic Press
ISBN: 0128015683
Size: 14,19 MB
Format: PDF
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Systems Biology in Toxicology and Environmental Health uses a systems biological perspective to detail the most recent findings that link environmental exposures to human disease, providing an overview of molecular pathways that are essential for cellular survival after exposure to environmental toxicants, recent findings on gene-environment interactions influencing environmental agent-induced diseases, and the development of computational methods to predict susceptibility to environmental agents. Introductory chapters on molecular and cellular biology, toxicology and computational biology are included as well as an assessment of systems-based tools used to evaluate environmental health risks. Further topics include research on environmental toxicants relevant to human health and disease, various high-throughput technologies and computational methods, along with descriptions of the biological pathways associated with disease and the developmental origins of disease as they relate to environmental contaminants. Systems Biology in Toxicology and Environmental Health is an essential reference for undergraduate students, graduate students, and researchers looking for an introduction in the use of systems biology approaches to assess environmental exposures and their impacts on human health. Provides the first reference of its kind, demonstrating the application of systems biology in environmental health and toxicology Includes introductions to the diverse fields of molecular and cellular biology, toxicology, and computational biology Presents a foundation that helps users understand the connections between the environment and health effects, and the biological mechanisms that link them

Evolutionary Computation Machine Learning And Data Mining In Bioinformatics

Author: Elena Marchiori
Editor: Springer
ISBN: 3540717838
Size: 14,22 MB
Format: PDF
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This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.

Biological Knowledge Discovery Handbook

Author: Mourad Elloumi
Editor: John Wiley & Sons
ISBN: 1118617118
Size: 13,25 MB
Format: PDF, ePub
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The first comprehensive overview of preprocessing, mining,and postprocessing of biological data Molecular biology is undergoing exponential growth in both thevolume and complexity of biological data—and knowledgediscovery offers the capacity to automate complex search and dataanalysis tasks. This book presents a vast overview of the mostrecent developments on techniques and approaches in the field ofbiological knowledge discovery and data mining (KDD)—providingin-depth fundamental and technical field information on the mostimportant topics encountered. Written by top experts, Biological Knowledge DiscoveryHandbook: Preprocessing, Mining, and Postprocessing of BiologicalData covers the three main phases of knowledge discovery (datapreprocessing, data processing—also known as datamining—and data postprocessing) and analyzes both verificationsystems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological DataMining Combining sound theory with practical applications in molecularbiology, Biological Knowledge Discovery Handbook is idealfor courses in bioinformatics and biological KDD as well as forpractitioners and professional researchers in computer science,life science, and mathematics.

Mass Spectrometry For Microbial Proteomics

Author: Haroun N. Shah
Editor: John Wiley & Sons
ISBN: 9781119991922
Size: 19,59 MB
Format: PDF, ePub, Docs
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New advances in proteomics, driven largely by developments in mass spectrometry, continue to reveal the complexity and diversity of pathogenic mechanisms among microbes that underpin infectious diseases. Therefore a new era in medical microbiology is demanding a rapid transition from current procedures to high throughput analytical systems for the diagnosis of microbial pathogens. This book covers the broad microbiological applications of proteomics and mass spectrometry. It is divided into six sections that follow the general progression in which most microbiology laboratories are approaching the subject –Transition, Tools, Preparation, Profiling by Patterns, Target Proteins, and Data Analysis.

Mass Spectrometry Data Analysis In Proteomics

Author: Rune Matthiesen
Editor: Springer Science & Business Media
ISBN: 1597452750
Size: 15,94 MB
Format: PDF, ePub, Mobi
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The intention of Mass Spectrometry Data Analysis in Proteomics is to support researchers in deciding which programs to use in various tasks related to analysis of mass spectrometry data in proteomics. The chapters give a precise description of the theoretical background of each topic followed accurate descriptions of programs and the parameters best suited for different cases.

Medical Biochemistry E Book

Author: John W Baynes
Editor: Elsevier Health Sciences
ISBN: 1455745812
Size: 20,33 MB
Format: PDF, Docs
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Brought to you in a thorough yet accessible manner, the new edition of Medical Biochemistry gives access to all of the latest information on basic and clinically focused genetic and molecular biology. Featuring a team of contributors that includes investigators involved in cutting-edge research as well as experienced clinicians, this updated medical textbook offers a unique combination of both research and practice that's ideal for today's problem-based integrated courses. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability. Relate biochemistry to everyday practice with the help of Clinical Boxes integrated into the text, and access in-depth coverage of important topics - including recent research in biochemistry - through Advanced Concept Boxes. Test your knowledge and improve retention with Active Learning Boxes at the conclusion of each chapter, and quickly review the most common lab tests performed with convenient Clinical Test Boxes. Effectively study the most updated information in biochemistry with the help of a dynamic, full-color design. Better understand the relationship between science and clinical practice with material organized by organ rather than system. Gain a thorough understanding of biomarkers and their uses with brand-new information on the subject. Access today's most recent research regarding Gene Therapy, Proteomics and Recombinant DNA Techniques, Role of Kidney in Metabolism, and Neurochemistry.