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Computational Epigenomics And Epitranscriptomics
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Book Synopsis Computational Epigenomics and Epitranscriptomics by : Pedro H. Oliveira
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.
Book Synopsis Computational Epitranscriptomics: Bioinformatic Approaches for the Analysis of RNA Modifications by : Mattia Pelizzola
Download or read book Computational Epitranscriptomics: Bioinformatic Approaches for the Analysis of RNA Modifications written by Mattia Pelizzola and published by Frontiers Media SA. This book was released on 2021-02-02 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Epigenetics in Human Diseases, Cell Differentiation, and Cell Reprogramming, Volume I by : Jianzhong Su
Download or read book Computational Epigenetics in Human Diseases, Cell Differentiation, and Cell Reprogramming, Volume I written by Jianzhong Su and published by Frontiers Media SA. This book was released on 2021-02-24 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational and Statistical Epigenomics by : Andrew E. Teschendorff
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.
Book Synopsis Computational Epigenetics and Diseases by :
Download or read book Computational Epigenetics and Diseases written by and published by Academic Press. This book was released on 2019-02-11 with total page 0 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.
Book Synopsis Computational Epigenomics by : Angela Yen
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.
Book Synopsis Computational Epigenetics in Human Diseases, Cell Differentiation, and Cell Reprogramming, Volume II by : Yongchun Zuo
Download or read book Computational Epigenetics in Human Diseases, Cell Differentiation, and Cell Reprogramming, Volume II written by Yongchun Zuo and published by Frontiers Media SA. This book was released on 2022-03-31 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Epigenomics and Disease by : Misook Ha
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.
Book Synopsis Epitranscriptomics by : Stefan Jurga
Download or read book Epitranscriptomics written by Stefan Jurga and published by Springer Nature. This book was released on 2021-07-28 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews a novel and exciting field of cellular and molecular biology called epitranscriptomics, which focuses on changes in an organism’s cells resulting from the posttranscriptional modification of cellular RNA. RNA-binding proteins (RBPs) play a crucial role in these posttranscriptional modifications and also support several cellular processes necessary for maintaining RNA homeostasis. Exploring the mechanisms underlying RNA modifications and RBP function is an emerging area of biomedical research, taking the study of gene regulation a step beyond epigenetics. This book reveals that the RNA molecule is not just an information-carrying molecule with some secondary structures. Accordingly, how RNA is modified, regulated, packaged, and controlled is an important aspect. Leading experts address questions such as where the over 170 distinct posttranscriptional RNA modifications are located on the genome, what percentage of mRNAs and noncoding RNAs these modifications include, and how an RNA modification impacts a person’s biology. In closing, the book reviews the role of RNA modifications and RBPs in a variety of diseases and their pathogenesis. Addressing some of the most exciting challenges in epitranscriptomics, this book provides a valuable and engaging resource for researchers in academia and industry studying the phenomena of RNA modification.
Book Synopsis Computational Methods for Analysis of Large-Scale Epigenomics Data by : Petko Plamenov Fiziev
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.
Book Synopsis Computational Studies in Epigenomics Using Histone Modification Data by : Nishanth Ulhas Nair
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:
Book Synopsis Encyclopedia of Bioinformatics and Computational Biology by :
Download or read book Encyclopedia of Bioinformatics and Computational Biology written by and published by Elsevier. This book was released on 2018-08-21 with total page 3421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases
Book Synopsis Biochemical and Molecular Pharmacology in Drug Discovery by : Mithun Rudrapal
Download or read book Biochemical and Molecular Pharmacology in Drug Discovery written by Mithun Rudrapal and published by Elsevier. This book was released on 2024-06-28 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biochemical and Molecular Pharmacology in Drug Discovery comprises fundamental biochemical and molecular aspects of drug discovery and basic understanding of modern drug discovery approaches along with certain key topics related to molecular pharmacology of drugs and therapeutics. Molecular pharmacology has gained significant momentum among researchers, scientists, and academicians because of its increasing interest in drug discovery research across the globe. Molecular pharmacology involves a fundamental understanding of drug actions at the molecular level with the help of several tools and techniques of biochemical and molecular biology. It explains the phenomena of drug-target interactions considering different biochemical systems and cellular strategies. With the advent of technologies, current advances and research trends move toward molecular and/or target-based drug design and discovery. Through this book, readers will be able to gain skills and knowledge with a thorough understanding of the subject of biochemical and molecular pharmacology, in a comprehensive and systematic manner with special reference to recent advances in drug discovery research. Highlights the fundamentals of biochemical and molecular aspects, with reference to drug discovery research Depicts modern drug discovery approaches such as reverse pharmacology, drug repositioning, and CADD in the context of current research updates Summarizes recent developments in the molecular pharmacology of novel drugs/ therapeutic molecules
Book Synopsis Impact of System Biology and Molecular Medicine on the Management of Complex Immune Mediated Respiratory Diseases by : Blanca Cárdaba
Download or read book Impact of System Biology and Molecular Medicine on the Management of Complex Immune Mediated Respiratory Diseases written by Blanca Cárdaba and published by Frontiers Media SA. This book was released on 2021-10-21 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Epigenetics and Metabolomics by : Paban K. Agrawala
Download or read book Epigenetics and Metabolomics written by Paban K. Agrawala and published by Elsevier. This book was released on 2021-08-25 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Epigenetics and Metabolomics, a new volume in the Translational Epigenetics series, offers a synthesized discussion of epigenetic control of metabolic activity, and systems-based approaches for better understanding these mechanisms. Over a dozen chapter authors provide an overview of epigenetics in translational medicine and metabolomics techniques, followed by analyses of epigenetic and metabolomic linkage mechanisms likely to result in effective identification of disease biomarkers, as well as new therapies targeting the removal of the inappropriate epigenetic alterations. Epigenetic interventions in cancer, brain damage, and neuroendocrine disease, among other disorders, are discussed in-depth, with an emphasis on exploring next steps for clinical translation and personalized healthcare. Offers a synthesized discussion of epigenetic regulation of metabolic activity and systems-based approaches to power new research Discusses epigenetic control of metabolic pathways and possible therapeutic targets for cancer, neurodegenerative, and neuroendocrine diseases, among others Provides guidance in epigenomics and metabolomic research methodology
Book Synopsis Systems Genetics by : Florian Markowetz
Download or read book Systems Genetics written by Florian Markowetz and published by Cambridge University Press. This book was released on 2015-07-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies.
Book Synopsis RNA Modifications and Epitranscriptomics by : Xiao Han
Download or read book RNA Modifications and Epitranscriptomics written by Xiao Han and published by Frontiers Media SA. This book was released on 2022-05-05 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt:
