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Author: Sun-Chong Wang
Publisher: CRC Press
ISBN: 1420067281
Category : Mathematics
Languages : en
Pages : 256
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Book Description
Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same under
Author: Sun-Chong Wang
Publisher: CRC Press
ISBN: 1420067281
Category : Mathematics
Languages : en
Pages : 256
Get Book Here
Book Description
Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same under
Author: Mario Fraga
Publisher: Academic Press
ISBN: 0128004967
Category : Science
Languages : en
Pages : 329
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Book Description
Epigenomics in Health and Disease discusses the next generation sequencing technologies shaping our current knowledge with regards to the role of epigenetics in normal development, aging, and disease. It includes the consequences for diagnostics, prognostics, and disease-based therapies made possible by the study of the complete set of epigenetic modifications to the genetic material of human cells. With coverage pertinent to both basic biology and translational research, the book will be of particular interest for medical and bioscience researchers and students seeking current translational knowledge in epigenesis and epigenomics. Coverage includes the latest findings on epigenome-wide research in disease-based profiling, epidemiological implications, epigenome-wide epigenetic studies, the cancer epigenome, and other pervasive disease categories. - Presents critical reviews that provide the means for reviewing and analyzing the epigenome as a whole, also discussing its translational potential - Combines basic epigenomic knowledge with methodological and biostatistical topics related to technology and data analysis - Includes coverage of relatively new topics, including DNA methylation dynamics during development and differentiation, genome-wide histone post-translational modifications during development and differentiation, and genome-wide DNA methylation changes during aging
Author: Jörg Tost
Publisher: Humana Press
ISBN: 9781617379383
Category : Medical
Languages : en
Pages : 0
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Book Description
Over the past few years, DNA methylation technologies and our knowledge of DNA methylation patterns have been advancing at a breathtaking pace. Due to this fact, DNA Methylation: Methods and Protocols, Second Edition completely revises, updates, and expands upon the popular first edition with the most current novel techniques, easier to use and more refined by the tested experience of leading experts. This revision reflects contemporary study of the subject: the analysis of gene-specific DNA methylation patterns has been complemented by genome-wide approaches, and epigenomics takes a central place. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters in this volume present brief introductions to the topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes which highlight tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, DNA Methylation: Methods and Protocols, Second Edition is the perfect resource for scientists who wish to further our understanding of the molecular processes that determine the genomic DNA methylation landscape and for those who aim to identify and implement DNA methylation-based biomarkers for clinical and diagnostic applications.
Author: Shaun D. McCullough
Publisher: Academic Press
ISBN: 0128124342
Category : Medical
Languages : en
Pages : 430
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Book Description
Toxicoepigenetics: Core Principles and Applications examines the core aspects of epigenetics, including chromatin biology, DNA methylation, and non-coding RNA, as well as fundamental techniques and considerations for studying each of these mechanisms of epigenetic regulation. Although its integration into the field of toxicology is in its infancy, epigenetics have taken center stage in the study of diseases such as cancer, diabetes, and neurodegeneration. Increasing the presence of epigenetics in toxicological research allows for a more in-depth understanding of important aspects of toxicology such as the role of the environment and lifestyle influencing the individual susceptibility to these effects and the trans-generational transmission of these health effects and susceptibilities. Methods chapters are included to help improve efficacy and efficiency of protocols in both the laboratory and the classroom. Toxicoepigenetics: Core Principles and Applications is an essential book for researchers and academics using epigenetics in toxicology research and study. - Introduces the fundamental principles and practices for understanding the role of the epigenome in toxicology - Presents the foundation of epigenetics for toxicologists with a broad range of backgrounds - Discusses the incorporation of epigenetics and epigenomics into current toxicological studies and interpretation of epigenetic data in toxicological applications
Author: David J. Balding
Publisher: John Wiley & Sons
ISBN: 1119429250
Category : Science
Languages : en
Pages : 1740
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Book Description
A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
Author: Edward Curry
Publisher: CRC Press
ISBN: 1351015303
Category : Mathematics
Languages : en
Pages : 311
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Book Description
In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the ability to plan suitable analyses of biological datasets, and to use the R programming environment to perform these analyses. This is achieved through a series of case studies using R to answer research questions using molecular biology datasets. Broadly applicable statistical methods are explained, including linear and rank-based correlation, distance metrics and hierarchical clustering, hypothesis testing using linear regression, proportional hazards regression for survival data, and principal component analysis. These methods are then applied as appropriate throughout the case studies, illustrating how they can be used to answer research questions. Key Features: · Provides a practical course in computational data analysis suitable for students or researchers with no previous exposure to computer programming. · Describes in detail the theoretical basis for statistical analysis techniques used throughout the textbook, from basic principles · Presents walk-throughs of data analysis tasks using R and example datasets. All R commands are presented and explained in order to enable the reader to carry out these tasks themselves. · Uses outputs from a large range of molecular biology platforms including DNA methylation and genotyping microarrays; RNA-seq, genome sequencing, ChIP-seq and bisulphite sequencing; and high-throughput phenotypic screens. · Gives worked-out examples geared towards problems encountered in cancer research, which can also be applied across many areas of molecular biology and medical research. This book has been developed over years of training biological scientists and clinicians to analyse the large datasets available in their cancer research projects. It is appropriate for use as a textbook or as a practical book for biological scientists looking to gain bioinformatics skills.
Author: Tanya Vavouri
Publisher: Humana Press
ISBN: 9781493977673
Category : Medical
Languages : en
Pages : 340
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Book Description
This detailed volume examines bioinformatic and molecular biological methods useful to identify and to explore the functions of CpG islands, key navigation points to understand gene regulation in fundamental processes such as development and cell differentiation as well as in diseases like cancer. Beginning with a historical perspective and important properties of CpG islands, the book continues with sections on computational and wet lab methods related to the study of DNA methylation, and in-depth protocols for the analysis of CpG island functional features including epigenetic profiling and chromatin interactions. 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 protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, CpG Islands: Methods and Protocols aims to provide readers with the information and methodologies necessary to continue to decipher how a genome’s structure and organization contribute to regulate biological processes.
Author: Gary Hardiman
Publisher: CRC Press
ISBN: 1420094513
Category : Medical
Languages : en
Pages : 362
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Book Description
In recent years, high-density DNA microarrays have revolutionized biomedical research and drug discovery efforts by the pharmaceutical industry. Their efficacy in identifying and prioritizing drug targets based on their ability to confirm a large number of gene expression measurements in parallel has become a key element in drug discovery. Microarr
Author: Ozren Bogdanovic
Publisher: Humana
ISBN: 9781071612934
Category : Science
Languages : en
Pages : 320
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Book Description
This volume explores the latest methods used to study various aspects of TET proteins and their biology. Chapters in this book are divided into five parts. Part One describes technologies aimed at detecting and quantifying DNA methylation turnover using massively parallel sequencing, ELISA, and mass spectrometry approaches. Part Two looks at data analyses protocols for distinguishing acting versus passive DNA demethylation and estimation of 5mC and 5hmC levels. Part Three deals with a new topic that takes advantage of modified CRISPR/Cas9 genome editing systems to target DNA demethylation activity to genomic loci of interest. Part Four discusses protocols that detail how to purify TET proteins and unravel their protein interactions, and Part Five looks at the assessment of TET protein function and activity in vivo and in vitro. 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, TET Proteins and DNA Demethylation: Methods and Protocols is a valuable resource that aims to help research scientists at all levels working in the fields of DNA demethylation dynamics. Chapters 3, 7 and 17 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Jose Luis Garcia-Gimenez
Publisher: Academic Press
ISBN: 0128019212
Category : Science
Languages : en
Pages : 698
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Book Description
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
