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Computational Epigenetics and Diseases

Computational Epigenetics and Diseases
Author:
Publisher: Academic Press
Total Pages: 450
Release: 2019-02-06
Genre: Business & Economics
ISBN: 0128145145

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Computational Epigenetics and Diseases, written by leading scientists in this evolving field, provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases. In particular, the major computational tools, databases, and strategies for computational epigenetics analysis, for example, DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA, are summarized, in the context of human diseases. This book discusses bioinformatics methods for epigenetic analysis specifically applied to human conditions such as aging, atherosclerosis, diabetes mellitus, schizophrenia, bipolar disorder, Alzheimer disease, Parkinson disease, liver and autoimmune disorders, and reproductive and respiratory diseases. Additionally, different organ cancers, such as breast, lung, and colon, are discussed. This book is a valuable source for graduate students and researchers in genetics and bioinformatics, and several biomedical field members interested in applying computational epigenetics in their research. Provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases Summarizes the major computational tools, databases, and strategies for computational epigenetics analysis, such as DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA Covers the major milestones and future directions of computational epigenetics in various kinds of human diseases such as aging, atherosclerosis, diabetes, heart disease, neurological disorders, cancers, blood disorders, liver diseases, reproductive diseases, respiratory diseases, autoimmune diseases, human imprinting disorders, and infectious diseases


Epigenetics in Health and Disease

Epigenetics in Health and Disease
Author:
Publisher: Elsevier
Total Pages: 326
Release: 2023-04-03
Genre: Science
ISBN: 0443186707

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Epigenetics in Health and Disease, Volume 197 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field, with this new volume presenting interesting chapters on An Introduction to epigenetics in health and disease, State-of-the-art techniques for epigenetics study, Computational biology in epigenetics, Artificial intelligence and machine learning in epigenetics, CRISPR-Cas systems in epigenetics modification for health, Mechanisms of DNA methylation and histone modifications, Non-coding RNA in epigenetics, Role of DNA Methylation in cardiovascular diseases, Role of epigenetics in renal diseases, and much more. Additional chapters update on Histone modifications in fat metabolism and obesity, Role of DNA methylation in diabetes and obesity, Epigenetic regulons in Alzheimer’s disease, Epigenetics in heredity disease, Epigenetics of aging, Epigenetics in cancer development, diagnosis and therapy, Microbiota and epigenetics: health impact, Epigenetics in Fetal Alcohol Spectrum disorder, and much more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Progress in Molecular Biology and Translational Science series Includes the latest information on Epigenetics in Health and Disease


Computational and Statistical Epigenomics

Computational and Statistical Epigenomics
Author: Andrew E. Teschendorff
Publisher: Springer
Total Pages: 218
Release: 2015-05-12
Genre: Science
ISBN: 940179927X

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This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike. Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.


Epigenetics in Human Disease

Epigenetics in Human Disease
Author: Trygve Tollefsbol
Publisher: Academic Press
Total Pages: 1110
Release: 2018-05-18
Genre: Medical
ISBN: 012812329X

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Epigenetics in Human Disease, Second Edition examines the diseases and conditions on which we have advanced knowledge of epigenetic mechanisms, such as cancer, autoimmune disorders, aging, metabolic disorders, neurobiological disorders and cardiovascular disease. In addition to detailing the role of epigenetics in the etiology, progression, diagnosis and prognosis of these diseases, novel epigenetic approaches to treatment are also explored. Fully revised and up-to-date, this new edition discusses topics of current interest in epigenetic research, including stem cell epigenetic therapy, bioinformatic analysis of NGS data, and epigenetic mechanisms of imprinting disorders. Further sections explore online epigenetic tools and datasets, early-life programming of epigenetics in age-related diseases, the epigenetics of addiction and suicide, and epigenetic approaches to regulating and preventing diabetes, cardiac disease, allergic disorders, Alzheimer’s disease, respiratory diseases, and many other human maladies. Includes contributions from leading international investigators involved in translational epigenetic research and therapeutic applications Integrates methods and applications with fundamental chapters on epigenetics in human disease, along with an evaluation of recent clinical breakthroughs Presents side-by-side coverage of the basis of epigenetic diseases and treatment pathways Provides a fully revised resource covering current developments, including stem cell epigenetic therapy, the bioinformatic analysis of NGS data, epigenetic mechanisms of imprinting disorders, online epigenetic tools and datasets, and more


Computational Epigenomics and Disease

Computational Epigenomics and Disease
Author: Misook Ha
Publisher: Academic Press
Total Pages: 320
Release: 2017-01-01
Genre: Medical
ISBN: 9780128041048

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Computational Epigenomics and Diseases: Epigenomic Data Analytics for Human Health Application explains the current computational approaches inferring epigenetic mechanisms from epigenetic data. Epigenetic research leads to a considerable amount of data that can be more efficiently organized and analyzed using computer-based systems. All applicable computational approaches are explained in detail within this volume. Computational Epigenetics discusses topics such as statistical analysis and management of big epigenetics datasets; relationships among epigenetic factors and diseases; computational inference of spatial organization of genome; differential regulations and inference of variations of chromatin modifications; and systems biology approaches for identifying chromatin regulators. Additionally, strategies for applying epigenetics data analysis results to disease diagnosis, prognosis, and case studies are included in order to provide thorough and translational comprehension and applicability. The book is a valuable resource for computer scientists, mathematicians, and statisticians interested in bioinformatics and computational biology approaches to epigenetic data analysis, as well as geneticists who are looking to improve their knowledge of computational analytics for their research. Explains the computational methods inferring features of epigenetic marks; Describes the basic computational methods for understanding and deciphering chromatin signatures at the primary organization level; Offers example publications and case studies to show the range of possible applications of the computational analyses of epigenetics data.


Epigenetics in Health and Disease part B

Epigenetics in Health and Disease part B
Author:
Publisher: Elsevier
Total Pages: 294
Release: 2023-05-23
Genre: Science
ISBN: 044321445X

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Epigenetics in Health and Disease, Volume 198 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field, with this new volume presenting interesting chapters on Computational biology in epigenetics, Artificial intelligence and machine learning in epigenetics, CRISPR-dCas9 Systems for Epigenetic Editing for Therapeutic Applications, Epigenetics in heredity disease, Epigenetics in cancer development, diagnosis and therapy, Microbiota and epigenetics: health impact, Histone deacetylase (HDACs) Inhibitors: Clinical applications, Early epigenetic markers for precision medicine, Epigenetics of neurological diseases, Epigenetic Regulons in Alzheimer’s disease, and Epigenetics in epilepsy. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Progress in Molecular Biology and Translational Science series Includes the latest information on Epigenetics in Health and Disease


Epigenetics in Health and Disease part B

Epigenetics in Health and Disease part B
Author:
Publisher: Academic Press
Total Pages: 0
Release: 2023-05-24
Genre: Science
ISBN: 9780443214448

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Epigenetics in Health and Disease, Volume 198 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field, with this new volume presenting interesting chapters on Computational biology in epigenetics, Artificial intelligence and machine learning in epigenetics, CRISPR-dCas9 Systems for Epigenetic Editing for Therapeutic Applications, Epigenetics in heredity disease, Epigenetics in cancer development, diagnosis and therapy, Microbiota and epigenetics: health impact, Histone deacetylase (HDACs) Inhibitors: Clinical applications, Early epigenetic markers for precision medicine, Epigenetics of neurological diseases, Epigenetic Regulons in Alzheimer's disease, and Epigenetics in epilepsy.


Human Epigenetics: How Science Works

Human Epigenetics: How Science Works
Author: Carsten Carlberg
Publisher: Springer Nature
Total Pages: 153
Release: 2019-09-24
Genre: Medical
ISBN: 3030229076

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The view “It’s all in our genes and we cannot change it” developed in the past 150 years since Gregor Mendel’s experiments with flowering pea plants. However, there is a special form of genetics, referred to as epigenetics, which does not involve any change of our genes but regulates how and when they are used. In the cell nucleus our genes are packed into chromatin, which is a complex of histone proteins and genomic DNA, representing the molecular basis of epigenetics. Our environment and lifestyle decisions influence the epigenetics of our cells and organs, i.e. epigenetics changes dynamically throughout our whole life. Thus, we have the chance to change our epigenetics in a positive as well as negative way and present the onset of diseases, such a type 2 diabetes or cancer. This textbook provides a molecular explanation how our genome is connected with environmental signals. It outlines that epigenetic programming is a learning process that results in epigenetic memory in each of the cells of our body. The central importance of epigenetics during embryogenesis and cellular differentiation as well as in the process of aging and the risk for the development of cancer are discussed. Moreover, the role of the epigenome as a molecular storage of cellular events not only in the brain but also in metabolic organs and in the immune system is described. The book represents an updated but simplified version of our textbook “Human Epigenomics” (ISBN 978-981-10-7614-8). The first five chapters explain the molecular basis of epigenetics, while the following seven chapters provide examples for the impact of epigenetics in human health and disease.