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Author: R. Scott Hawley
Publisher: John Wiley & Sons
ISBN: 1444313088
Category : Science
Languages : en
Pages : 256
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Book Description
Advanced Genetic Analysis brings a state-of-the-art,exciting new approach to genetic analysis. Focusing on theunderlying principles of modern genetic analysis, this bookprovides the 'how' and 'why' of the essential analytical toolsneeded. The author's vibrant, accessible style provides an easyguide to difficult genetic concepts, from mutation and genefunction to gene mapping and chromosome segregation. Throughout, abalanced range of model organisms and timely examples are used toillustrate the theoretical basics. Basic principles - Focuses students attention on the 'how' and'why' of the essential analytical tools. Vibrant, accessible style provides an easy guide throughdifficult genetic concepts and techniques. Text boxes highlight key questions and timely examples. Boxes of key information in each chapter, chapter summaries andextensive references - prompt the student to synthesise andreinforce the chapter material. Special reference section addressing a range of model organismsto help provide a particularly relevant context for students'research interests.
Author: R. Scott Hawley
Publisher: John Wiley & Sons
ISBN: 1444313088
Category : Science
Languages : en
Pages : 256
Get Book Here
Book Description
Advanced Genetic Analysis brings a state-of-the-art,exciting new approach to genetic analysis. Focusing on theunderlying principles of modern genetic analysis, this bookprovides the 'how' and 'why' of the essential analytical toolsneeded. The author's vibrant, accessible style provides an easyguide to difficult genetic concepts, from mutation and genefunction to gene mapping and chromosome segregation. Throughout, abalanced range of model organisms and timely examples are used toillustrate the theoretical basics. Basic principles - Focuses students attention on the 'how' and'why' of the essential analytical tools. Vibrant, accessible style provides an easy guide throughdifficult genetic concepts and techniques. Text boxes highlight key questions and timely examples. Boxes of key information in each chapter, chapter summaries andextensive references - prompt the student to synthesise andreinforce the chapter material. Special reference section addressing a range of model organismsto help provide a particularly relevant context for students'research interests.
Author:
Publisher:
ISBN: 9780716735977
Category : Molecular genetics
Languages : en
Pages : 675
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Book Description
Author: Anthony J. F. Griffiths
Publisher:
ISBN: 9780716731184
Category : Genetics
Languages : en
Pages : 675
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Book Description
"Modern Genetic Analysis, Second Edition," the second introductory genetics textbook W.H. Freeman has published by the Griffiths author team, implements an innovative approach to teaching genetics. Rather than presenting material in historical order, ""Modern Genetic Analysis, Second Edition"" integrates molecular genetics with classical genetics. The integrated approach provides students with a concrete foundation in molecules, while simultaneously building an understanding of the more abstract elements of transmission genetics. ""Modern Genetic Analysis, Second Edition""also incorporates new pedagogy, improved chapter organization, enhanced art, and an appealing overall design.
Author: Melinda C. Mills
Publisher: MIT Press
ISBN: 0262357445
Category : Science
Languages : en
Pages : 433
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Book Description
A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.
Author: Anthony J. F. Griffiths
Publisher:
ISBN: 9781319401399
Category :
Languages : en
Pages :
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Book Description
Author: Richard J. Reece
Publisher: Halsted Press
ISBN: 9780470843796
Category : Science
Languages : en
Pages : 469
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Book Description
Analysis of GenesA and Genomes is a clear introduction to the theoretical and practical basis of genetic engineering, gene cloning and molecular biology. All aspects of genetic engineering in the post-genomic era are covered, beginning with the basics of DNA structure and DNA metabolism. Using an example-driven approach, the fundamentals of creating mutations in DNA, cloning in bacteria, yeast, plants and animals are all clearly presented. Newer technologies such as DNA macro and macroarrays, proteomics and bioinformatics are introduced in later chapters helping students to analyse and understand the vast amounts of data that are now available through genome sequence and function projects. Aimed at students with a basic knowledge of the molecular side of biology, this will be invaluable to those looking to better understand the complexities and capabilities of these important new technologies. A modern post-genome era introduction to key techniques used in genetic engineering. An example driven past-to-present approach to allow the experiments of today to be placed in an historical context Beautifully illustrated in full colour throughout. Associated website including updates, additional content and illustrations
Author: Mark F. Sanders
Publisher: Pearson Educacion
ISBN: 9780321818461
Category : Genetics
Languages : en
Pages : 864
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Book Description
Informed by many years of genetics teaching and research experience, authors Mark Sanders and John Bowman use an integrative approach that helps contextualize three core challenges of learning genetics: solving problems, understanding evolution, and understanding the connection between traditional genetics models and more modern approaches. This package contains: Genetic Analysis: An Integrated Approach
Author: Nessa Carey
Publisher: Columbia University Press
ISBN: 0231530714
Category : Science
Languages : en
Pages : 353
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Book Description
Epigenetics can potentially revolutionize our understanding of the structure and behavior of biological life on Earth. It explains why mapping an organism's genetic code is not enough to determine how it develops or acts and shows how nurture combines with nature to engineer biological diversity. Surveying the twenty-year history of the field while also highlighting its latest findings and innovations, this volume provides a readily understandable introduction to the foundations of epigenetics. Nessa Carey, a leading epigenetics researcher, connects the field's arguments to such diverse phenomena as how ants and queen bees control their colonies; why tortoiseshell cats are always female; why some plants need cold weather before they can flower; and how our bodies age and develop disease. Reaching beyond biology, epigenetics now informs work on drug addiction, the long-term effects of famine, and the physical and psychological consequences of childhood trauma. Carey concludes with a discussion of the future directions for this research and its ability to improve human health and well-being.
Author: Mark F. Sanders
Publisher: Pearson Higher Ed
ISBN: 1292092378
Category : Science
Languages : en
Pages : 890
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Book Description
For all introductory genetics courses Informed by many years of genetics teaching and research expertise, authors Mark Sanders and John Bowman use an integrated approach that helps contextualise three core challenges of learning genetics: solving problems, understanding evolution, and understanding the connection between traditional genetics models and more modern approaches. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Author: Nan M. Laird
Publisher: Springer Science & Business Media
ISBN: 1441973389
Category : Medical
Languages : en
Pages : 226
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Book Description
This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
