genetics books

	Analysis of Human Genetic Linkage
	By: Jurg Ott ISBN: 0801861403 Publisher: The Johns Hopkins University Press Release Date: 17 March, 1999 Bioscience book rank: 796319	I can not believe that One can make so many mistakes for such a 400 pages book. On page 12, there are 2 major mistakes which will lead anyone who is not an expert in this area to hell. This is THE book on the subject. The bible of the field by a master.
	Genetic Engineering: A Christian Response: Crucial Considerations for Shaping Life (The Christian Response Series)
	By: Timothy J. Demy, Gary P. Stewart ISBN: 0825423570 Publisher: Kregel Academic & Professional Release Date: 05 February, 1999 Bioscience book rank: 690963
	Seed Wars: Cases and Materials on Intellectual Property and Plant Genetic Resources
	By: Keith Aoki ISBN: 1594600503 Publisher: Carolina Academic Press Release Date: 30 July, 2007 Bioscience book rank: 459627
	Wrestling with Behavioral Genetics: Science, Ethics, and Public Conversation
	By: Erik Parens, Audrey R. Chapman, Nancy Press ISBN: 0801882249 Publisher: The Johns Hopkins University Press Release Date: 21 December, 2005 Bioscience book rank: 887922
	The Terrible Gift: The Brave New World of Genetic Medicine
	By: Rick J. Carlson, Gary Stimeling ISBN: 1891620657 Publisher: PublicAffairs Release Date: 30 April, 2002 Bioscience book rank: 996726	First, much of this book deals with issues in the delivery of healthcare, not genetics. Second, while genetic engineering poses serious risks that must be managed by our government, the authors have proposed one of the most ludicrous ones in their chapter "Silent Bombs" discusion of Monsanto's "Terminator" gene. They write "It renders crop plants sterile, thus enclosed, monopolized, and growable only from patented one year seed...If the gene spread into the wild, it could sterilize other species and possibly drive them to extinction." (p. 190-191) I'm embarrased to be caught with this book! I guess the authors never heard the joke "If your parents were sterile, does that mean you also cannot have children?" Need I say more about these authors. If you don't subscribe to the "money equals truth" philosophy of modern medicine, if you don't trust corporations with the genetic future of the earth, you owe it to yourself to read this book. The authors cover a lot of ground, and sometimes I wished for more detail, but they succeed in bringing clarity to their hopelessly confused subject. The book is well documented without drowning the reader in statistics. Best of all, it's written with style, instead of the dry prose you might expect from a book on health care policy. Highly recommended. This book is a disservice to research and writing. The information is wrong. The writing is unsufferable. The message is lost in incorrect information, bad research work, and poor writing. This is a waste of money.
	Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases (Advances in Fuzzy Systems - Applications & Theory)
	By: Oscar Cordon, Francisco Herrera, Frank Hoffmann, Luis Magdalena ISBN: 9810240171 Publisher: World Scientific Publishing Company Release Date: 15 February, 2002 Bioscience book rank: 962537	The volume brings an outstanding presentation of the major issues, ideas, concepts and algorithms to design and develop fuzzy systems using gentic algorithms. A field of major relevance for researchers and practioners, genetic fuzzy systems provides a major methodological substract of significant impact in practice. The book is unique in its contents and presentation. Chapters begin with the key concepts and smoothly grows to advanced concepts in a clear and very understandable and motivating way. The material mirrors the state of the art in the area of genetic fuzzy systems and contains the most recent results available until its publication. Written by renowned, internationally recognized researchers, the book is mandatory to all who are interested in the field of computational intelligence, its foundations and applications. In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy<br>systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn<br>the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy<br>systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning<br>processes in fuzzy systems: the Michigan, Pittsburgh and Iterative-learning methods. Finally, it explores hybrid genetic fuzzy systems such as<br>genetic fuzzy clustering or genetic neuro-fuzzy systems and describes a number of applications from different areas. Genetic Fuzzy System represents a comprehensive treatise on the design of the fuzzy-rule-based systems using genetic algorithms, both from<br>a theoretical and a practical perspective. It is a valuable compendium for scientists and engineers concerned with research and applications in<br>the domain of fuzzy systems and genetic algorithms.
	Human Genetics for the Social Sciences (Advanced Psychology Text Series)
	By: Gregory Carey ISBN: 0761923454 Publisher: Sage Publications, Inc Release Date: 15 July, 2002 Bioscience book rank: 857981
	Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms
	By: Thomas Back ISBN: 0195099710 Publisher: Oxford University Press, USA Release Date: 11 January, 1996 Bioscience book rank: 898820	In comparing this book with, say Goldberg's "Genetic Algorithms..." (may be the most popular genetic algorithms text), this book reads more like a German habilitation thesis (which I imagine it may have served as such), where as Goldberg's book seems more of a light introduction for the mathematically uninitiated. Indeed, Back's book seems quite scholarly with lots of useful references, and gives a good introduction to not only genetic algorithms, but also to evolutionary strategies (a paradigm that is most applicable to Euclidean-type search spaces) and evolutionary programming <br />(simular to ES and not to be confused with genetic programming). <br /> <br />I found Chapters 1 and 2 quite good, in that Chapter 1 presented the biological motivations for evolutionary computing along with a brief introduction to the theory of computation and computational complexity, while Chapter 2 gave a very good introduction to the above-mentioned evolutionary computing paradigms. The remainder of the book reads more like a report on the author's experiments in evolutionary computing. <br /> <br />It is important to note that Goldberg's book does not cover Evolutionary Strategies, which I have found to be a more fruitful approach since it is specifically designed for Euclidean space where many if not most interesting optimization problems are formulated in. <br /> <br />Finally, I offer bit of advice for those who plan to read through this book. Some of the definitions are stated with such generality that they seem very opaque upon first reading. It is very important to understand them, so do not give up! Once the defintions are understood, the algorithms will seem much easier to comprehend. In fact, the algorithms have a very simple outline: <br />i) initialize population <br />ii) while the terminating condition is not yet met: recombine to form new population members, mutate the population members, select the most fit population members to form the next generation. <br /> The partial analyses provided for the algorithms can be skipped on first reading. <br /> Although this book is much less popular than Goldberg's and Mitchell's, it is the most complete reference on evolutionary algorithms in my opinion. If you're looking only for an introduction to EAs, this may not be the perfect book for you (the 2 other ones are more concise) but if you're seeking a detailed review of foundations of EAs, this book is excellent. It provides mathematical insight, and examples of how to implement such algorithms. I don't really know why this book didn't sell as well as some of the other standard books in evolutionary algorithms. It's much better in many respects and presents a balanced view of the entire field, including evolution strategies, evolutionary programming, and genetic algorithms. Anyone who is interested in evolutionary algorithms should have this book....
	Methods in Yeast Genetics, 2000 Edition : A Cold Spring Harbor Laboratory Course Manual
	By: Dan Burke, Dean Dawson, Tim Stearns, Cold Spring Harbor Laboratory ISBN: 0879695889 Publisher: Cold Spring Harbor Laboratory Press Release Date: 15 August, 2000 Bioscience book rank: 922831
	The Origins of Native Americans: Evidence from Anthropological Genetics
	By: Michael H. Crawford ISBN: 0521004101 Publisher: Cambridge University Press Release Date: 26 February, 2001 Bioscience book rank: 904133