Genomics
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| Author | : Om P. Rajora |
| Publisher | : Springer |
| Total Pages | : 824 |
| Release | : 2019-01-07 |
| Genre | : Science |
| ISBN | : 3030045897 |
Population genomics has revolutionized various disciplines of biology including population, evolutionary, ecological and conservation genetics, plant and animal breeding, human health, medicine and pharmacology by allowing to address novel and long-standing questions with unprecedented power and accuracy. It employs large-scale or genome-wide genetic information and bioinformatics to address various fundamental and applied aspects in biology and related disciplines, and provides a comprehensive genome-wide perspective and new insights that were not possible before. These advances have become possible due to the development of new and low-cost sequencing and genotyping technologies and novel statistical approaches and software, bioinformatics tools, and models. Population genomics is tremendously advancing our understanding the roles of evolutionary processes, such as mutation, genetic drift, gene flow, and natural selection, in shaping up genetic variation at individual loci and across the genome and populations; improving the assessment of population genetic parameters or processes such as adaptive evolution, effective population size, gene flow, admixture, inbreeding and outbreeding depression, demography, and biogeography; resolving evolutionary histories and phylogenetic relationships of extant, ancient and extinct species; understanding the genomic basis of fitness, adaptation, speciation, complex ecological and economically important traits, and disease and insect resistance; facilitating forensics, genetic medicine and pharmacology; delineating conservation genetic units; and understanding the genetic effects of resource management practices, and assisting conservation and sustainable management of genetic resources. This Population Genomics book discusses the concepts, approaches, applications and promises of population genomics in addressing most of the above fundamental and applied crucial aspects in a variety of organisms from microorganisms to humans. The book provides insights into a range of emerging population genomics topics including population epigenomics, landscape genomics, seascape genomics, paleogenomics, ecological and evolutionary genomics, biogeography, demography, speciation, admixture, colonization and invasion, genomic selection, and plant and animal domestication. This book fills a vacuum in the field and is expected to become a primary reference in Population Genomics world-wide.
| Author | : Altuna Akalin |
| Publisher | : CRC Press |
| Total Pages | : 463 |
| Release | : 2020-12-16 |
| Genre | : Mathematics |
| ISBN | : 1498781861 |
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
| Author | : Shashikant Kulkarni |
| Publisher | : Academic Press |
| Total Pages | : 489 |
| Release | : 2014-11-10 |
| Genre | : Science |
| ISBN | : 0124051731 |
Clinical Genomics provides an overview of the various next-generation sequencing (NGS) technologies that are currently used in clinical diagnostic laboratories. It presents key bioinformatic challenges and the solutions that must be addressed by clinical genomicists and genomic pathologists, such as specific pipelines for identification of the full range of variants that are clinically important. This book is also focused on the challenges of diagnostic interpretation of NGS results in a clinical setting. Its final sections are devoted to the emerging regulatory issues that will govern clinical use of NGS, and reimbursement paradigms that will affect the way in which laboratory professionals get paid for the testing. - Simplifies complexities of NGS technologies for rapid education of clinical genomicists and genomic pathologists towards genomic medicine paradigm - Tried and tested practice-based analysis for precision diagnosis and treatment plans - Specific pipelines and meta-analysis for full range of clinically important variants
| Author | : Claudia Gonzaga-Jauregui |
| Publisher | : Academic Press |
| Total Pages | : 318 |
| Release | : 2021-06-12 |
| Genre | : Medical |
| ISBN | : 0128204362 |
Genomics of Rare Diseases: Understanding Disease Genetics Using Genomic Approaches, a new volume in the Translational and Applied Genomics series, offers readers a broad understanding of current knowledge on rare diseases through a genomics lens. This clear understanding of the latest molecular and genomic technologies used to elucidate the molecular causes of more than 5,000 genetic disorders brings readers closer to unraveling many more that remain undefined and undiscovered. The challenges associated with performing rare disease research are also discussed, as well as the opportunities that the study of these disorders provides for improving our understanding of disease architecture and pathophysiology. Leading chapter authors in the field discuss approaches such as karyotyping and genomic sequencing for the better diagnosis and treatment of conditions including recessive diseases, dominant and X-linked disorders, de novo mutations, sporadic disorders and mosaicism. - Compiles applied case studies and methodologies, enabling researchers, clinicians and healthcare providers to effectively classify DNA variants associated with disease and patient phenotypes - Discusses the main challenges in studying the genetics of rare diseases through genomic approaches and possible or ongoing solutions - Explores opportunities for novel therapeutics - Features chapter contributions from leading researchers and clinicians
| Author | : Hans C. Andersson, MD |
| Publisher | : Millbrook Press |
| Total Pages | : 139 |
| Release | : 2020-09-01 |
| Genre | : Young Adult Nonfiction |
| ISBN | : 1728411580 |
Over the past 50 years, scientists have made incredible progress in the application of genetic research to human health care and disease treatment. Innovative tools and techniques, including gene therapy and CRISPR-Cas9 editing, can treat inherited disorders that were previously untreatable, or prevent them from happening in the first place. You can take a DNA test to learn where your ancestors are from. Police officers can use genetic evidence to identify criminals—or innocents. And some doctors are using new medical techniques for unprecedented procedures. Genomics: A Revolution in Health and Disease Discovery delves into the history, science, and ethics behind recent breakthroughs in genetic research. Authors Whitney Stewart and Hans Andersson, MD, present fascinating case studies that show how real people have benefitted from genetic research. Though the genome remains full of mysteries, researchers and doctors are working hard to uncover its secrets and find the best ways to treat patients and cure diseases. The discoveries to come will inform how we target disease treatment, how we understand our health, and how we define our very identities.
| Author | : Marjorie F. Oleksiak |
| Publisher | : Springer Nature |
| Total Pages | : 458 |
| Release | : 2019-12-31 |
| Genre | : Science |
| ISBN | : 3030379361 |
Population genomics has provided unprecedented opportunities to unravel the mysteries of marine organisms in the oceans' depths. The world's oceans, which make up 70% of our planet, encompass diverse habitats and host numerous unexplored populations and species. Population genomics studies of marine organisms are rapidly emerging and have the potential to transform our understanding of marine populations, species, and ecosystems, providing insights into how these organisms are evolving and how they respond to different stimuli and environments. This knowledge is critical for understanding the fundamental aspects of marine life, how marine organisms will respond to environmental changes, and how we can better protect and preserve marine biodiversity and resources. This book brings together leading experts in the field to address critical aspects of fundamental and applied research in marine species and share their research and insights crucial for understanding marine ecosystem diversity and function. It also discusses the challenges, opportunities and future perspectives of marine population genomics.
| Author | : Julien Y Dutheil |
| Publisher | : |
| Total Pages | : 464 |
| Release | : 2020-10-08 |
| Genre | : Science |
| ISBN | : 9781013271403 |
This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
| Author | : Simon A MacKenzie |
| Publisher | : Academic Press |
| Total Pages | : 306 |
| Release | : 2016-07-29 |
| Genre | : Technology & Engineering |
| ISBN | : 0128016906 |
Genomics in Aquaculture is a concise, must-have reference that describes current advances within the field of genomics and their applications to aquaculture. Written in an accessible manner for anyone—non-specialists to experts alike—this book provides in-depth coverage of genomics spanning from genome sequencing, to transcriptomics and proteomics. It provides, for ease of learning, examples from key species most relevant to current intensive aquaculture practice. Its coverage of minority species that have a specific biological interest (e.g., Pleuronectiformes) makes this book useful for countries that are developing such species. It is a robust, practical resource that covers foundational, functional, and applied aspects of genomics in aquaculture, presenting the most current information in a field of research that is rapidly growing. - Provides the latest scientific methods and technologies to maximize efficiencies for healthy fish production, with summary tables for quick reference - Offers an extended glossary of technical and methodological terms to help readers better understand key biological concepts - Describes state-of-the-art technologies, such as transcriptomics and epigenomics, currently under development for future perspective of the field - Covers minority species that have a specific biological interest (e.g., Pleuronectiformes), making the book useful to countries developing such species
| Author | : Arthur Lesk |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 421 |
| Release | : 2012 |
| Genre | : Medical |
| ISBN | : 0199564353 |
This book covers the latest techniques that enable us to study the genome in detail, the book explores what the genome tells us about life at the level of the molecule, the cell, and the organism
| Author | : Shizhong Xu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 428 |
| Release | : 2012-09-10 |
| Genre | : Science |
| ISBN | : 0387708065 |
Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle on the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data. Resourceful and easy to use, Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics.
