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Author : Nishanth Ulhas Nair
Publisher :
ISBN 13 :
Total Pages : 126 pages
Book Rating : 4.:/5 (893 download)
Download or read book Computational Studies in Epigenomics Using Histone Modification Data written by Nishanth Ulhas Nair and published by . This book was released on 2014 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher : Academic Press
ISBN 13 : 0128145145
Total Pages : 450 pages
Book Rating : 4.1/5 (281 download)
Download or read book Computational Epigenetics and Diseases written by and published by Academic Press. This book was released on 2019-02-06 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Andrew E. Teschendorff
Publisher : Springer
ISBN 13 : 940179927X
Total Pages : 218 pages
Book Rating : 4.4/5 (17 download)
Download or read book Computational and Statistical Epigenomics written by Andrew E. Teschendorff and published by Springer. This book was released on 2015-05-12 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Petko Plamenov Fiziev
Publisher :
ISBN 13 :
Total Pages : 248 pages
Book Rating : 4.:/5 (14 download)
Download or read book Computational Methods for Analysis of Large-Scale Epigenomics Data written by Petko Plamenov Fiziev and published by . This book was released on 2018 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reverse-engineering and understanding the regulatory dynamics of genes is key to gaining insights into many biological processes on molecular level. Advances in genomics technologies and decreasing costs of DNA sequencing enabled interrogating relevant properties of the genome, collectively referred to as epigenetics, on very large scale. This work presents results from two collaborative projects with experimental biologists and two new general computational methods for analysis of high-throughput epigenomic data. The first collaborative project is joint work with Dr. Kathrin Plath and members of her lab at UCLA on studying the epigenetics of somatic cell reprogramming in mouse. By generating and analyzing a large compendium of genomics datasets at four distinct stages during reprogramming, we discovered key properties of the regulatory dynamics during this process and proposed new ways to improve its efficiency. The first computational method in this work, ChromTime, presents a novel framework for modeling spatio-temporal dynamics of chromatin marks. ChromTime detects expanding, contracting and steady domains of chromatin marks from time course epigenomics data. Applications of the method to a diverse set of biological systems show that predicted dynamic domains likely mark important regulatory regions as they associate with changes in gene expression and transcription factor binding. Furthermore, ChromTime enables analyses of the directionality of spatio-temporal dynamics of epigenetic domains, which is a previously understudied aspect of chromatin dynamics. Our results uncover associations between the direction of expanding and contracting domains of several chromatin marks and the direction of transcription of nearby genes. The second collaborative project is joint work with cancer researchers, Dr. Lynda Chin and Dr. Kunal Rai and members of their labs at MD Anderson Cancer Center in Houston, TX. Within this project we studied the epigenetics of melanoma cancer progression. Our collaborators generated genome-wide maps for a large number of histone modifications, DNA methylation and gene expression in tumorigenic and non-tumorigenic human melanocytes. By comparing these maps we discovered that loss of acetylation marks at regulatory regions is characteristic of tumorigenic melanocytes and that modulating acetylation levels can impact tumorigenic potential of cells. In addition, we developed a novel nanostring assay for interrogating the chromatin state at a small subset of genomic locations, which can potentially be used for diagnostic or prognostic purposes in future. The second computational method presented in this work, CSDELTA, is designed to detect differential chromatin sites from genome-wide chromatin state maps in groups with multiple samples. Biological relevance of detected differential sites is supported by associations with changes in gene expression and transcription factor binding. Furthermore, CSDELTA models the functional similarity between chromatin states and improves upon the resolution of detection compared to existing methods, which enables more accurate downstream analyses to gain insights into the regulatory dynamics of biological systems.
Author : Pedro H. Oliveira
Publisher : Springer Nature
ISBN 13 : 107162962X
Total Pages : 267 pages
Book Rating : 4.0/5 (716 download)
Download or read book Computational Epigenomics and Epitranscriptomics written by Pedro H. Oliveira and published by Springer Nature. This book was released on 2023-02-01 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. 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. Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data.
Author : Angela Yen
Publisher :
ISBN 13 :
Total Pages : 225 pages
Book Rating : 4.:/5 (965 download)
Download or read book Computational Epigenomics written by Angela Yen and published by . This book was released on 2016 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the fundamental aims of biology is to determine what lies at the root of differences across individuals, species, diseases, and cell types. Furthermore, the sequencing of genomes has revolutionized the ways in which scientists can investigate biological processes and disease pathways; new genome-wide, high-throughput experiments require computer scientists with a biological understanding to analyze and interpret the data to improve our understanding about life science. This provides us with a key opportunity to use computational techniques for new biological discoveries. While genetic variation plays an important role in influence phenotype, sequence alone cannot account for all differences: for example, different types of cells in an individual have varying function and attributes, but identical genetic makeup. This highlights the importance of studying epigenetic changes, which are dynamic chemical changes to and around the DNA. While the DNA of every cell in an individual is the same, the epigenetic context for that DNA varies from cell to cell. In this way, these epigenetic differences play a crucial role in gene regulation, with epigenetic changes both causing and recording regulatory mechanisms. In this thesis, we combine the power of computational, statistical, and data science approaches with the new wave of epigenetic data at a genome-wide level in a number of ways. First, in chapter 2, we demonstrate the importance of computational analysis at an epigenomic level by identifying an epigenomic signature of the olfactory receptor gene family that gives insight into the mechanism behind monogenic gene regulation. Next, in chapter 3, we explain our development of ChromDiff, a novel statistical and information theoretic computational methodology to identify chromatin state differences in groups of samples. In our methodology, we use correction for external covariates to isolate the relevant signal, and as a result, we find that our method outperforms existing computational methods, with further validation through randomized simulations. In chapter 4, we apply our methodology to characteristics including sex, developmental age, and tissue type, we unveil relevant chromatin states and genes that distinguish the groups of epigenomes, with further validation of our results through differential expression analysis and gene set enrichment. In chapter 5, we show the power of integrative analysis through the combination of DNA methylation data with chromatin state profiles, cell types, sample groups, experimental technologies, and histone mark data to reveal insightful epigenetic patterns and relationships. Finally, in chapter 6, we identify "hidden" or "unknown" covariates in epigenomic data by using agnostic principal component analysis on our samples to discover similarities between our known covariates and the identified components. In summation, our research highlights the importance of both algorithm development and method application for epigenomic questions, reaffirming the importance of interdisciplinary research that brings together cutting-edge techniques in computer science with appropriate biological hypotheses and data. While questions and analysis must be carefully paired in an informed manner to produce meaningful, interpretable, and believable results in computational biology, our work here provides a sampling of the vast potential for scientific discovery at the intersection of the fields of computer science and biology.
Author : Trygve Tollefsbol
Publisher : Academic Press
ISBN 13 : 0128194154
Total Pages : 736 pages
Book Rating : 4.1/5 (281 download)
Download or read book Epigenetics Methods written by Trygve Tollefsbol and published by Academic Press. This book was released on 2020-07-08 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the field of epigenetics has grown significantly, driving new understanding of human developmental processes and disease expression, as well as advances in diagnostics and therapeutics. As the field of epigenetics continues to grow, methods and technologies have multiplied, resulting in a wide range of approaches and tools researchers might employ. Epigenetics Methods offers comprehensive instruction in methods, protocols, and experimental approaches applied in field of epigenetics. Here, across thirty-five chapters, specialists offer step-by-step overviews of methods used to study various epigenetic mechanisms, as employed in basic and translational research. Leading the reader from fundamental to more advanced methods, the book begins with thorough instruction in DNA methylation techniques and gene or locus-specific methylation analyses, followed by histone modification methods, chromatin evaluation, enzyme analyses of histone methylation, and studies of non-coding RNAs as epigenetic modulators. Recently developed techniques and technologies discussed include single-cell epigenomics, epigenetic editing, computational epigenetics, systems biology epigenetic methods, and forensic epigenetic approaches. Epigenetics methods currently in-development, and their implication for future research, are also considered in-depth. In addition, as with the wider life sciences, reproducibility across experiments, labs, and subdisciplines is a growing issue for epigenetics researchers. This volume provides consensus-driven methods instruction and overviews. Tollefsbol and contributing authors survey the range of existing methods; identify best practices, common themes, and challenges; and bring unity of approach to a diverse and ever-evolving field. Includes contributions by leading international investigators involved in epigenetic research and clinical and therapeutic application Integrates technology and translation with fundamental chapters on epigenetics methods, as well as chapters on more novel and advanced epigenetics methods Written at verbal and technical levels that can be understood by scientists and students alike Includes chapters on state-of-the-art techniques such as single-cell epigenomics, use of CRISPR/Cas9 for epigenetic editing, and epigenetics methods applied to forensics
Author : Jerzy Kulski
Publisher : BoD – Books on Demand
ISBN 13 : 9535122401
Total Pages : 466 pages
Book Rating : 4.5/5 (351 download)
Download or read book Next Generation Sequencing written by Jerzy Kulski and published by BoD – Books on Demand. This book was released on 2016-01-14 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Next generation sequencing (NGS) has surpassed the traditional Sanger sequencing method to become the main choice for large-scale, genome-wide sequencing studies with ultra-high-throughput production and a huge reduction in costs. The NGS technologies have had enormous impact on the studies of structural and functional genomics in all the life sciences. In this book, Next Generation Sequencing Advances, Applications and Challenges, the sixteen chapters written by experts cover various aspects of NGS including genomics, transcriptomics and methylomics, the sequencing platforms, and the bioinformatics challenges in processing and analysing huge amounts of sequencing data. Following an overview of the evolution of NGS in the brave new world of omics, the book examines the advances and challenges of NGS applications in basic and applied research on microorganisms, agricultural plants and humans. This book is of value to all who are interested in DNA sequencing and bioinformatics across all fields of the life sciences.
Author : Misook Ha
Publisher : Academic Press
ISBN 13 : 9780128041048
Total Pages : 320 pages
Book Rating : 4.0/5 (41 download)
Download or read book Computational Epigenomics and Disease written by Misook Ha and published by Academic Press. This book was released on 2017-01-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Olivier Bousquet
Publisher : Springer
ISBN 13 : 3540286500
Total Pages : 249 pages
Book Rating : 4.5/5 (42 download)
Download or read book Advanced Lectures on Machine Learning written by Olivier Bousquet and published by Springer. This book was released on 2011-03-22 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is published as LNAI 2600. This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references. Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning.
Author : Asheesh Shanker
Publisher : Springer
ISBN 13 : 9811315620
Total Pages : 402 pages
Book Rating : 4.8/5 (113 download)
Download or read book Bioinformatics: Sequences, Structures, Phylogeny written by Asheesh Shanker and published by Springer. This book was released on 2018-10-13 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the concepts and approaches used for sequence, structure, and phylogenetic analysis. Starting with an introduction to the subject and intellectual property protection for bioinformatics, it guides readers through the latest sequencing technologies, sequence analysis, genomic variations, metagenomics, epigenomics, molecular evolution and phylogenetics, structural bioinformatics, protein folding, structure analysis and validation, drug discovery, reverse vaccinology, machine learning, application of R programming in biological data analysis, and the use of Linux in handling large data files.
Author : Kai Fu
Publisher :
ISBN 13 :
Total Pages : 117 pages
Book Rating : 4.:/5 (14 download)
Download or read book Mining and Integrating Epigenomics Big Data to Discover Novel Mechanisms of Gene Regulation written by Kai Fu and published by . This book was released on 2018 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Besides DNA sequences, the genes are regulated by epigenomic mechanisms. Advances in high-throughput sequencing technologies have enabled the generation of huge amount of epigenomic data sets. Those epigenomic big data then requires the application of sophisticated computational approaches and statistical algorithms. My dissertation then focuses on mining and integrating epigenomic big data to inform novel biological mechanisms behind those datasets. The first research project compares the binding patterns of pluripotent regulatory factors, i.e. Oct4, Sox2, Klf4 and c-Myc, between human and mouse in induced pluripotent stem cells. The result suggests the genome-wide regulatory mechanisms are conserved between those two species, but the detailed transcriptional mechanisms are diverged. The second research project analyzes the temporal expression data from embryonic stem cells to cardiomyocytes. The results in this project then identify regulators, including transcription factors and long intergenic non-coding RNAs, which are strongly associated with the cardiogenesis differentiation process. The third research project integrates datasets of DNA methylation and histone modification in 35 human cell types. The result shows histone modifications, especially for H3K4me3, are highly predictable of DNA methylation. As a summary, my dissertation analyzes and integrates epigenomic big data in biological context related with embryonic stem cells and induced pluripotent cells, provides and discoveries novel insights to understand epigenetic regulation of gene expression.
Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309224187
Total Pages : 354 pages
Book Rating : 4.3/5 (92 download)
Download or read book Evolution of Translational Omics written by Institute of Medicine and published by National Academies Press. This book was released on 2012-09-13 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Yujun George Zheng
Publisher : Academic Press
ISBN 13 : 0128013273
Total Pages : 516 pages
Book Rating : 4.1/5 (28 download)
Download or read book Epigenetic Technological Applications written by Yujun George Zheng and published by Academic Press. This book was released on 2015-05-30 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epigenetic Technological Applications is a compilation of state-of-the-art technologies involved in epigenetic research. Epigenetics is an exciting new field of biology research, and many technologies are invented and developed specifically for epigenetics study. With chapters covering the latest developments in crystallography, computational modeling, the uses of histones, and more, Epigenetic Technological Applications addresses the question of how these new ideas, procedures, and innovations can be applied to current epigenetics research, and how they can keep pushing discovery forward and beyond the epigenetic realm. Discusses technologies that are critical for epigenetic research and application Includes epigenetic applications for state-of-the-art technologies Contains a global perspective on the future of epigenetics
Author : Alexey Ruzov
Publisher : Humana
ISBN 13 : 9781071608753
Total Pages : 495 pages
Book Rating : 4.6/5 (87 download)
Download or read book DNA Modifications written by Alexey Ruzov and published by Humana. This book was released on 2020-08-22 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of methods and experimental protocols that are currently used to analyze the presence and abundance of non-canonical DNA nucleotides in different biological systems. Focusing particularly on the newly discovered and less studied DNA modifications that are enzymatically produced and are likely to play specific roles in various biological processes, the volume explores chromatography- and mass spectrometry-based techniques for the detection and quantification of DNA modifications, antibody-based approaches to study their spatial distribution in different cells and tissues, and methods to analyze their genomic distribution with the help of bioinformatics tools that interrogate the corresponding datasets. Written for the highly successful Methods in Molecular Biology series, 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. Authoritative and comprehensive, DNA Modifications: Methods and Protocols serves as an ideal guide to research scientists and PhD students in this rapidly developing discipline, and, thus, will ultimately contribute to deciphering the roles of non-canonical DNA nucleotides in different biological systems.
Author : Jose Luis Garcia-Gimenez
Publisher : Academic Press
ISBN 13 : 0128019212
Total Pages : 698 pages
Book Rating : 4.1/5 (28 download)
Download or read book Epigenetic Biomarkers and Diagnostics written by Jose Luis Garcia-Gimenez and published by Academic Press. This book was released on 2015-12-07 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epigenetic Biomarkers and Diagnostics comprises 31 chapters contributed by leading active researchers in basic and clinical epigenetics. The book begins with the basis of epigenetic mechanisms and descriptions of epigenetic biomarkers that can be used in clinical diagnostics and prognostics. It goes on to discuss classical methods and next generation sequencing-based technologies to discover and analyze epigenetic biomarkers. The book concludes with an account of DNA methylation, post-translational modifications and noncoding RNAs as the most promising biomarkers for cancer (i.e. breast, lung, colon, etc.), metabolic disorders (i.e. diabetes and obesity), autoimmune diseases, infertility, allergy, infectious diseases, and neurological disorders. The book describes the challenging aspects of research in epigenetics, and current findings regarding new epigenetic elements and modifiers, providing guidance for researchers interested in the most advanced technologies and tested biomarkers to be used in the clinical diagnosis or prognosis of disease. Focuses on recent progress in several areas of epigenetics, general concepts regarding epigenetics, and the future prospects of this discipline in clinical diagnostics and prognostics Describes the importance of the quality of samples and clinical associated data, and also the ethical issues for epigenetic diagnostics Discusses the advances in epigenomics technologies, including next-generation sequencing based tools and applications Expounds on the utility of epigenetic biomarkers for diagnosis and prognosis of several diseases, highlighting the study of these biomarkers in cancer, cardiovascular and metabolic diseases, infertility, and infectious diseases Includes a special section that discusses the relevance of biobanks in the maintenance of high quality biosamples and clinical-associated data, and the relevance of the ethical aspects in epigenetic studies
Author : L. Joseph Su
Publisher : Springer
ISBN 13 : 1447166787
Total Pages : 327 pages
Book Rating : 4.4/5 (471 download)
Download or read book Environmental Epigenetics written by L. Joseph Su and published by Springer. This book was released on 2015-05-18 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the toxicological and health implications of environmental epigenetics and provides knowledge through an interdisciplinary approach. Included in this volume are chapters outlining various environmental risk factors such as phthalates and dietary components, life states such as pregnancy and ageing, hormonal and metabolic considerations and specific disease risks such as cancer cardiovascular diseases and other non-communicable diseases. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses.
