Author: Anthony J.F. Griffiths
Publisher: Macmillan Higher Education
ISBN: 1319116388
Category : Science
Languages : en
Pages : 2342
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Book Description
With each edition, An Introduction to Genetic Analysis (IGA) evolves discovery by discovery with the world of genetic research, taking students from the foundations of Mendelian genetics to the latest findings and applications by focusing on the landmark experiments that define the field. With its author team of prominent scientists who are also highly accomplished educators, IGA again combines exceptional currency, expansive updating of its acclaimed problem sets, and a variety of new ways to learn genetics. Foremost is this edition’s dedicated version of W.H. Freeman’s breakthrough online course space, LaunchPad, which offers a number of new and enhanced interactive tools that advance IGA’s core mission: to show students how to analyze experimental data and draw their own conclusions based on scientific thinking while teaching students how to think like geneticists. See what's in the LaunchPad
Author: Anthony J. F. Griffiths
Publisher:
ISBN: 9781319401399
Category :
Languages : en
Pages :
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Book Description
Author: Anthony J.F. Griffiths
Publisher: W. H. Freeman
ISBN: 9781429272773
Category : Science
Languages : en
Pages : 0
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Book Description
From the publisher. Since its inception, Introduction to Genetic Analysis (IGA) has been known for its prominent authorship including leading scientists in their field who are great educators. This market best-seller exposes students to the landmark experiments in genetics, teaching students how to analyze experimental data and how to draw their own conclusions based on scientific thinking while teaching students how to think like geneticists.
Author: Desmond S. T. Nicholl
Publisher: Cambridge University Press
ISBN: 9780521004718
Category : Medical
Languages : en
Pages : 308
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Book Description
The author presents a basic introduction to the world of genetic engineering. Copyright © Libri GmbH. All rights reserved.
Author: Melanie Mitchell
Publisher: MIT Press
ISBN: 9780262631853
Category : Computers
Languages : en
Pages : 226
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Book Description
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Author: Andrea S. Foulkes
Publisher: Springer Science & Business Media
ISBN: 038789554X
Category : Science
Languages : en
Pages : 264
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Book Description
Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.
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: Kathryn Asbury
Publisher: John Wiley & Sons
ISBN: 1118482808
Category : Psychology
Languages : en
Pages : 174
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Book Description
G is for Genes shows how a dialogue between geneticists and educationalists can have beneficial results for the education of all children—and can also benefit schools, teachers, and society at large. Draws on behavioral genetic research from around the world, including the UK-based Twins’ Early Development Study (TEDS), one of the largest twin studies in the world Offers a unique viewpoint by bringing together genetics and education, disciplines with a historically difficult relationship Shows that genetic influence is not the same as genetic determinism and that the environment matters at least as much as genes Designed to spark a public debate about what naturally-occurring individual differences mean for education and equality
Author: Chris Pomery
Publisher: Dundurn
ISBN: 1550025368
Category : Reference
Languages : en
Pages : 178
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Book Description
DNA testing is now being used by thousands of genealogists around the world. DNA and Family History is the first guide to this pioneering subject, designed for family historians and surname study organizers at any stage in their research. In simple language aimed at non-scientists, Chris Pomery examines the background and the issues.
Author: Mark Taylor
Publisher: Cambridge University Press
ISBN: 1107007119
Category : Computers
Languages : en
Pages : 247
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Book Description
Mark Taylor demonstrates how research using genetic data can be reconciled with proper privacy protection.
