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Data Analysis For Omic Sciences Methods And Applications


Data Analysis For Omic Sciences Methods And Applications
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Data Analysis For Omic Sciences Methods And Applications


Data Analysis For Omic Sciences Methods And Applications
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Author :
language : en
Publisher: Elsevier
Release Date : 2018-09-22

Data Analysis For Omic Sciences Methods And Applications written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-22 with Science categories.


Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed. Examples of applications in real environmental, clinical and food analysis cases help readers disseminate these approaches. Chapters of note include an Introduction to Data Analysis Relevance in the Omics Era, Omics Experimental Design and Data Acquisition, Microarrays Data, Analysis of High-Throughput RNA Sequencing Data, Analysis of High-Throughput DNA Bisulfite Sequencing Data, Data Quality Assessment in Untargeted LC-MS Metabolomic, Data Normalization and Scaling, Metabolomics Data Preprocessing, and more. - Presents the best reference book for omics data analysis - Provides a review of the latest trends in transcriptomics and metabolomics data analysis tools - Includes examples of applications in research fields, such as environmental, biomedical and food analysis



Data Analysis And Chemometrics For Metabolomics


Data Analysis And Chemometrics For Metabolomics
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Author : Richard G. Brereton
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-08

Data Analysis And Chemometrics For Metabolomics written by Richard G. Brereton 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 2024-07-08 with Science categories.


Understand new modes of analysing metabolomic data Metabolomics is the study of metabolites, small molecules and chemical substrates within cells or larger structures which collectively make up the metabolome. The field of metabolomics stands to benefit enormously from chemometrics, an approach which brings advanced statistical techniques to bear on data of this kind. Data Analysis and Chemometrics for Metabolomics constitutes an accessible introduction to chemometric techniques and their applications in the field of metabolomics. Thoroughly and accessibly written by a leading expert in chemometrics, and printed in full-colour, it brings robust data analysis into conversation with the metabolomic field to the immense benefit of practitioners. Data Analysis and Chemometrics for Metabolomics readers will also find: Statistical insights into the nature of metabolomic hypothesis testing, validation, and more All metabolomics data sets from the book on a companion website Case studies from human, animal, plant and bacterial biology Data Analysis and Chemometrics for Metabolomics is ideal for practitioners in the life sciences, clinical sciences and chemistry, as well as metabolomics researchers or developers of research instruments looking to apply cutting-edge analytical techniques, and statisticians developing methods to design experiments and analyse large datasets of clinical and biological origin.



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 : 2016-12-22

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 2016-12-22 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.



Comprehensive Foodomics


Comprehensive Foodomics
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Author :
language : en
Publisher: Elsevier
Release Date : 2020-11-12

Comprehensive Foodomics written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-12 with Science categories.


Comprehensive Foodomics, Three Volume Set offers a definitive collection of over 150 articles that provide researchers with innovative answers to crucial questions relating to food quality, safety and its vital and complex links to our health. Topics covered include transcriptomics, proteomics, metabolomics, genomics, green foodomics, epigenetics and noncoding RNA, food safety, food bioactivity and health, food quality and traceability, data treatment and systems biology. Logically structured into 10 focused sections, each article is authored by world leading scientists who cover the whole breadth of Omics and related technologies, including the latest advances and applications. By bringing all this information together in an easily navigable reference, food scientists and nutritionists in both academia and industry will find it the perfect, modern day compendium for frequent reference. List of sections and Section Editors: Genomics - Olivia McAuliffe, Dept of Food Biosciences, Moorepark, Fermoy, Co. Cork, Ireland Epigenetics & Noncoding RNA - Juan Cui, Department of Computer Science & Engineering, University of Nebraska-Lincoln, Lincoln, NE Transcriptomics - Robert Henry, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Australia Proteomics - Jens Brockmeyer, Institute of Biochemistry and Technical Biochemistry, University Stuttgart, Germany Metabolomics - Philippe Schmitt-Kopplin, Research Unit Analytical BioGeoChemistry, Neuherberg, Germany Omics data treatment, System Biology and Foodomics - Carlos Leon Canseco, Visiting Professor, Biomedical Engineering, Universidad Carlos III de Madrid Green Foodomics - Elena Ibanez, Foodomics Lab, CIAL, CSIC, Madrid, Spain Food safety and Foodomics - Djuro Josic, Professor Medicine (Research) Warren Alpert Medical School, Brown University, Providence, RI, USA & Sandra Kraljevic Pavelic, University of Rijeka, Department of Biotechnology, Rijeka, Croatia Food Quality, Traceability and Foodomics - Daniel Cozzolino, Centre for Nutrition and Food Sciences, The University of Queensland, Queensland, Australia Food Bioactivity, Health and Foodomics - Miguel Herrero, Department of Bioactivity and Food Analysis, Foodomics Lab, CIAL, CSIC, Madrid, Spain Brings all relevant foodomics information together in one place, offering readers a ‘one-stop,’ comprehensive resource for access to a wealth of information Includes articles written by academics and practitioners from various fields and regions Provides an ideal resource for students, researchers and professionals who need to find relevant information quickly and easily Includes content from high quality authors from across the globe



Comprehensive Chemometrics


Comprehensive Chemometrics
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Author : Steven Brown
language : en
Publisher: Elsevier
Release Date : 2020-05-26

Comprehensive Chemometrics written by Steven Brown and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-26 with Science categories.


Comprehensive Chemometrics, Second Edition, Four Volume Set features expanded and updated coverage, along with new content that covers advances in the field since the previous edition published in 2009. Subject of note include updates in the fields of multidimensional and megavariate data analysis, omics data analysis, big chemical and biochemical data analysis, data fusion and sparse methods. The book follows a similar structure to the previous edition, using the same section titles to frame articles. Many chapters from the previous edition are updated, but there are also many new chapters on the latest developments. Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience Presents integrated reviews of each chemical and biological method, examining their merits and limitations through practical examples and extensive visuals Bridges a gap in knowledge, covering developments in the field since the first edition published in 2009 Meticulously organized, with articles split into 4 sections and 12 sub-sections on key topics to allow students, researchers and professionals to find relevant information quickly and easily Written by academics and practitioners from various fields and regions to ensure that the knowledge within is easily understood and applicable to a large audience



Evolution Of Translational Omics


Evolution Of Translational Omics
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Author : Institute of Medicine
language : en
Publisher: National Academies Press
Release Date : 2012-09-13

Evolution Of Translational Omics written by Institute of Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Science categories.


Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.



Bioinformatics For Omics Data


Bioinformatics For Omics Data
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Author : Bernd Mayer
language : en
Publisher: Springer Science+Business Media
Release Date : 2011-01-01

Bioinformatics For Omics Data written by Bernd Mayer and has been published by Springer Science+Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-01 with Bioinformatics categories.


Presenting an area of research that intersects with and integrates diverse disciplines, Bioinformatics for Omics Data: Methods and Protocols collects contributions from expert researchers in order to provide practical guidelines to this complex study.



Metabolomics In Health And Disease Biology


Metabolomics In Health And Disease Biology
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-02-26

Metabolomics In Health And Disease Biology written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Science categories.


Metabolomics in Health and Disease Biology, Volume 104 covers this rapidly emerging field that aims for metabolic phenotyping and understanding the blueprint of metabolic pathways under various health and disease conditions by comprehensive analysis of metabolites. Chapters in this new release include Metabolomics approaches: Biomarkers to Disease mechanisms, Metabolomics in sleep disorders, Metabolomics in predicting the hallmark of Cancer Metabolism, Spectroscopic based rapid metabolic fingerprinting approaches for Cancer diagnosis, Lipidomics in assessing the health of osteoarthritis, Metabolomics Applications in Type 2 Diabetes mellitus, Metabolomics of Diabetic retinopathy, Metabolomics in Neurodegenerative disorders- Parkinson's disease, and Metabolomic of Neurodegenerative disorder: Alzheimer's Disease. - Presents crucial reviews from selected experts in the field of metabolomics, with cross-disciplinary contributions - Provides the latest insights into our understanding of diseases using metabolomics-based approaches - Includes graphical material for metabolomics application that provide useful information for ease of reading of audience



Towards Precision Medicine For Immune Mediated Disorders Advances In Using Big Data And Artificial Intelligence To Understand Heterogeneity In Inflammatory Responses


Towards Precision Medicine For Immune Mediated Disorders Advances In Using Big Data And Artificial Intelligence To Understand Heterogeneity In Inflammatory Responses
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Author : Xu-jie Zhou
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-16

Towards Precision Medicine For Immune Mediated Disorders Advances In Using Big Data And Artificial Intelligence To Understand Heterogeneity In Inflammatory Responses written by Xu-jie Zhou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Medical categories.


Topic Editor Dr. MacLeod is employed by Janssen. All other Topic Editors declare no competing interests with regards to the Research Topic subject.



Health Informatics Data Analysis


Health Informatics Data Analysis
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Author : Dong Xu
language : en
Publisher: Springer
Release Date : 2017-09-08

Health Informatics Data Analysis written by Dong Xu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-08 with Medical categories.


This book provides a comprehensive overview of different biomedical data types, including both clinical and genomic data. Thorough explanations enable readers to explore key topics ranging from electrocardiograms to Big Data health mining and EEG analysis techniques. Each chapter offers a summary of the field and a sample analysis. Also covered are telehealth infrastructure, healthcare information association rules, methods for mass spectrometry imaging, environmental biodiversity, and the global nonlinear fitness function for protein structures. Diseases are addressed in chapters on functional annotation of lncRNAs in human disease, metabolomics characterization of human diseases, disease risk factors using SNP data and Bayesian methods, and imaging informatics for diagnostic imaging marker selection. With the exploding accumulation of Electronic Health Records (EHRs), there is an urgent need for computer-aided analysis of heterogeneous biomedical datasets. Biomedical data is notorious for its diversified scales, dimensions, and volumes, and requires interdisciplinary technologies for visual illustration and digital characterization. Various computer programs and servers have been developed for these purposes by both theoreticians and engineers. This book is an essential reference for investigating the tools available for analyzing heterogeneous biomedical data. It is designed for professionals, researchers, and practitioners in biomedical engineering, diagnostics, medical electronics, and related industries.