Primer of Genetic Analysis PDF Download
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Author: James N. Thompson, Jr
Publisher: Cambridge University Press
ISBN: 1139465643
Category : Science
Languages : en
Pages : 488
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Book Description
An invaluable student-tested study aid, this primer, first published in 2007, provides guided instruction for the analysis and interpretation of genetic principles and practice in problem solving. Each section is introduced with a summary of useful hints for problem solving and an overview of the topic with key terms. A series of problems, generally progressing from simple to more complex, then allows students to test their understanding of the material. Each question and answer is accompanied by detailed explanation. This third edition includes additional problems in basic areas that often challenge students, extended coverage in molecular biology and development, an expanded glossary of terms, and updated historical landmarks. Students at all levels, from beginning biologists and premedical students to graduates seeking a review of basic genetics, will find this book a valuable aid. It will complement the formal presentation in any genetics textbook or stand alone as a self-paced review manual.
Author: James N. Thompson, Jr
Publisher: Cambridge University Press
ISBN: 1139465643
Category : Science
Languages : en
Pages : 488
Get Book Here
Book Description
An invaluable student-tested study aid, this primer, first published in 2007, provides guided instruction for the analysis and interpretation of genetic principles and practice in problem solving. Each section is introduced with a summary of useful hints for problem solving and an overview of the topic with key terms. A series of problems, generally progressing from simple to more complex, then allows students to test their understanding of the material. Each question and answer is accompanied by detailed explanation. This third edition includes additional problems in basic areas that often challenge students, extended coverage in molecular biology and development, an expanded glossary of terms, and updated historical landmarks. Students at all levels, from beginning biologists and premedical students to graduates seeking a review of basic genetics, will find this book a valuable aid. It will complement the formal presentation in any genetics textbook or stand alone as a self-paced review manual.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309047986
Category : Medical
Languages : en
Pages : 353
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Book Description
Raising hopes for disease treatment and prevention, but also the specter of discrimination and "designer genes," genetic testing is potentially one of the most socially explosive developments of our time. This book presents a current assessment of this rapidly evolving field, offering principles for actions and research and recommendations on key issues in genetic testing and screening. Advantages of early genetic knowledge are balanced with issues associated with such knowledge: availability of treatment, privacy and discrimination, personal decision-making, public health objectives, cost, and more. Among the important issues covered: Quality control in genetic testing. Appropriate roles for public agencies, private health practitioners, and laboratories. Value-neutral education and counseling for persons considering testing. Use of test results in insurance, employment, and other settings.
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: 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: Anthony Griffiths
Publisher: WH Freeman
ISBN: 9781464187940
Category : Science
Languages : en
Pages : 0
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Book Description
This is the Solutions manual for Introduction to Genetic Analysis.
Author: Philip Mark Meneely
Publisher: Oxford University Press
ISBN: 0199681260
Category : Medical
Languages : en
Pages : 580
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Book Description
With its unique integration of genetics and molecular biology, this text probes fascinating questions that explore how our understanding of key genetic phenomena can be used to understand biological systems. Opening with a brief overview of key genetic principles, model organisms, and epigenetics, the book goes on to explore the use of gene mutations, the analysis of gene expression and activity, a discussion of the genetic structure of natural populations, and more.
Author: Kenneth Lange
Publisher: Springer Science & Business Media
ISBN: 0387217509
Category : Medical
Languages : en
Pages : 376
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Book Description
Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.
Author: David Bourn
Publisher: Springer Nature
ISBN: 3030855104
Category : Medical
Languages : en
Pages : 145
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Book Description
Over the last decade, technical advances have allowed genomic testing which provides a great opportunity for diagnosis but also an increased chance of uncertain or unexpected findings. This book addresses many of the questions that arise in this context and summarizes the essential concepts in diagnostic genetic testing in an easy-to-read manner. It also covers some broad context for the practical and ethical implications of examining human DNA sequences. The book starts with a general introduction to the field, providing enough background to allow readers without any previous education in genetics to comprehend the material in the subsequent chapters. The main part explores differing aspects of human genetics and the wider implications of testing in these areas. The author covers not only single gene inheritance, but also genetic testing of cancers and how testing benefits the patients. Special emphasis is also given to the questions of genetics and identity. The concluding part then draws the main themes together and summarises the wider significance of genetics. It also explores the gap between promises made for the impact of advances in genetics, and the actual benefits to patients. The book is written for everyone interested to learn about the process of genetic testing and the broader implications. Moreover, it is aimed at health professionals with an interest in genetics, at students or scientific trainees looking for an introduction to diagnostic genetics, and at professionals in health policy or health journalism.
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: Jurg Ott
Publisher: JHU Press
ISBN: 9780801861406
Category : Medical
Languages : en
Pages : 418
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Book Description
Introduction and basic genetic principles; Genetic loci genetic polymorphisms; Aspects of statistical inference; Basics of linkage analysis; The informativeness of family data; Multipoint linkage analysis; Penetrance; Quantitative phenotypes; Numerical and computerized methods; Variability of the recombination fraction; Inconsistencies; Linkage analysis with mendelian disease loci; Nonparametric methods; Two-locus inheritance; Complex traits.
