Related books on 'genetics-method'
Return to life science book listNumber of products: 14825
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by: Benjamin Pierce publisher: W. H. Freeman, published: 2009-10-23 ASIN: 1429230401 EAN: 9781429230407 sales rank: 40129 Derived from Benjamin Pierce's popular and acclaimed Genetics: A Conceptual Approach, Genetics Essentials covers basic transmission, molecular, and population genetics in 17 chapters, bypassing advanced topics to focus on what is essential for students new to the genetics field. Pierce continues his tradition of focusing on the basic concepts of genetics that students need to understand and the connections that lie between them. Like its parent text, Genetics Essentials offers student-friendly features, cutting edge and classical research, and helpful media, with an engaging voice bringing it all together. There is a greater emphasis on understanding and connecting basic concepts, as well as carefully crafted pedagogy to help develop sure-fire problem-solving skills. The price is student friendly as well--significantly less than similar textbooks for the course. Visit the Genetics Essentials preview site at http://whfreeman.com/piercepreview |
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by: Bo Peng publisher: Wiley-Blackwell, published: 2012-02-14 ASIN: 0470503483 EAN: 9780470503485 sales rank: 2348295 The only book available in the area of forward-time population genetics simulations—applicable to both biomedical and evolutionary studies The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies. Forward-Time Population Genetics Simulations presents both new and commonly used methods, and introduces simuPOP, a powerful and flexible new program that can be used to simulate arbitrary evolutionary processes with unique features like customized chromosome types, arbitrary nonrandom mating schemes, virtual subpopulations, information fields, and Python operators. The book begins with an overview of important concepts and models, then goes on to show how simuPOP can simulate a number of standard population genetics models—with the goal of demonstrating the impact of genetic factors such as mutation, selection, and recombination on standard Wright-Fisher models. The rest of the book is devoted to applications of forward-time simulations in various research topics. Forward-Time Population Genetics Simulations includes:
The only book of its kind in the field today, Forward-Time Population Genetics Simulations will appeal to researchers and students of population and statistical genetics. |
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by: Faouzi Bekkaoui publisher: Sunrise Publishing Ltd., published: 2001-06-01 ASIN: B0008I5PCW This digital document is an article from SaskBusiness, published by Sunrise Publishing Ltd. on June 1, 2001. The length of the article is 660 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser. Citation Details Title: Genetic technologies creating new opportunities for Saskatchewan.(plant genetics techniques and usage)(Brief Article) Author: Faouzi Bekkaoui Publication: SaskBusiness (Magazine/Journal) Date: June 1, 2001 Publisher: Sunrise Publishing Ltd. Volume: 22 Issue: 4 Page: 29 Article Type: Brief Article Distributed by Thomson Gale |
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by: Jacqueline Adams publisher: Scholastic, Inc., published: 2009-03-16 ASIN: B001VMKC6S This digital document is an article from Science World, published by Scholastic, Inc. on March 16, 2009. The length of the article is 804 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser. Citation Details Title: DNA detective: when crime threatens rare animals, a scientist turns sleuth to crack the case.(LIFE: GENETICS)(George Amato) Author: Jacqueline Adams Publication: Science World (Magazine/Journal) Date: March 16, 2009 Publisher: Scholastic, Inc. Volume: 65 Issue: 11 Page: 20(2) Distributed by Gale, a part of Cengage Learning |
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by: Hanan Aljuaid publisher: Science Publications, published: 2010-06-01 ASIN: B003S0WZD4 This digital document is an article from Journal of Computer Science, published by Science Publications on June 1, 2010. The length of the article is 4051 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser. From the author: Key words: Arabic characters recognition, genetic algorithm, feature extraction, Arabic characters pattern, OCR, AOCR, off-line characters recognition Citation Details Title: A tool to develop Arabic handwriting recognition system using genetic approach.(Report) Author: Hanan Aljuaid Publication: Journal of Computer Science (Magazine/Journal) Date: June 1, 2010 Publisher: Science Publications Volume: 6 Issue: 6 Page: 597(6) Article Type: Report Distributed by Gale, a part of Cengage Learning |
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by: Robin L. Bennett publisher: Wiley-Blackwell, published: 2010-03-08 ASIN: 0470040726 EAN: 9780470040720 sales rank: 639828 Helps you develop and assess pedigrees to make diagnoses, evaluate risk, and counsel patients The Second Edition of The Practical Guide to the Genetic Family History not only shows how to take a medical-family history and record a pedigree, but also explains why each bit of information gathered is important. It provides essential support in diagnosing conditions with a genetic component. Moreover, it aids in recommending genetic testing, referring patients for genetic counseling, determining patterns of inheritance, calculating risk of disease, making decisions for medical management and surveillance, and informing and educating patients. Based on the author's twenty-five years as a genetic counselor, the book also helps readers deal with the psychological, social, cultural, and ethical problems that arise in gathering a medical-family history and sharing findings with patients. Featuring a new Foreword by Arno Motulsky, widely recognized as the founder of medical genetics, and completely updated to reflect the most recent findings in genetic medicine, this Second Edition presents the latest information and methods for preparing and assessing a pedigree, including:
Throughout the book, clinical examples based on hypothetical families illustrate key concepts, helping readers understand how real issues present themselves and how they can be resolved. This book will enable all healthcare providers, including physicians, nurses, medical social workers, and physician assistants, as well as genetic counselors, to take full advantage of the pedigree as a primary tool for making a genetic risk assessment and providing counseling for patients and their families. |
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publisher: Springer, published: 2005-04-21 ASIN: 0387223339 EAN: 9780387223339 sales rank: 431396 In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advanced computational methods including high-dimensional numerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers that are new to the field, a section discussing practical methods for data analysis, and more specialized sections discussing specific models and addressing statistical issues relating to estimation and model choice. The chapters are written by the leaders of field and they will take the reader from basic introductory material to the state-of-the-art statistical methods. This book is suitable for statisticians seeking to learn more about applications in molecular evolution and molecular evolutionary biologists with an interest in learning more about the theory behind the statistical methods applied in the field. The chapters of the book assume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statistical concepts are introduced in the book in the context of their application in molecular evolution, and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory. Rasmus Nielsen received his Ph.D. form the University of California at Berkeley in 1998 and after a postdoc at Harvard University, he assumed a faculty position in Statistical Genomics at Cornell University. He is currently an Ole Rømer Fellow at the University of Copenhagen and holds a Sloan Research Fellowship. His is an associate editor of the Journal of Molecular Evolution and has published more than fifty original papers in peer-reviewed journals on the topic of this book. From the reviews: "...Overall this is a very useful book in an area of increasing importance." Journal of the Royal Statistical Society "I find Statistical Methods in Molecular Evolution very interesting and useful. It delves into problems that were considered very difficult just several years ago...the book is likely to stimulate the interest of statisticians that are unaware of this exciting field of applications. It is my hope that it will also help the 'wet lab' molecular evolutionist to better understand mathematical and statistical methods." Marek Kimmel for the Journal of the American Statistical Association, September 2006 "Who should read this book? We suggest that anyone who deals with molecular data (who does not?) and anyone who asks evolutionary questions (who should not?) ought to consult the relevant chapters in this book." Dan Graur and Dror Berel for Biometrics, September 2006 "Coalescence theory facilitates the merger of population genetics theory with phylogenetic approaches, but still, there are mostly two camps: phylogeneticists and population geneticists. Only a few people are moving freely between them. Rasmus Nielsen is certainly one of these researchers, and his work so far has merged many population genetic and phylogenetic aspects of biological research under the umbrella of molecular evolution. Although Nielsen did not contribute a chapter to his book, his work permeates all its chapters. This book gives an overview of his interests and current achievements in molecular evolution. In short, this book should be on your bookshelf." Peter Beerli for Evolution, 60(2), 2006 |
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by: Kenneth Lange publisher: Springer, published: 2002-03-28 ASIN: 0387953892 EAN: 9780387953892 sales rank: 1242487 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. |
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publisher: Academic Press, published: 2011-05-13 ASIN: 0123870364 EAN: 9780123870360 sales rank: 747911 This volume of Methods in Cell Biology, the second of two parts on the subject of zebrafish, provides a comprehensive compendium of laboratory protocols and reviews covering all the new methods developed since 1999. * Details state-of-the art zebrafish protocols, delineating critical steps in the procedures as well as potential pitfalls * Illustrates many techiques in full-color * Summarizes the Zebrafish Genome Project |
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by: Daniel Sorensen publisher: Springer, published: 2010-12-01 ASIN: 1441929975 EAN: 9781441929976 sales rank: 1368404 This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, an effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument. |