genetics books

	Mouse Genetics and Transgenics: A Practical Approach
	By: Ian J. Jackson, Catherine M. Abbott ISBN: 0199637083 Publisher: Oxford University Press, USA Release Date: 15 February, 2000 Bioscience book rank: 395296
	Genetic Glass Ceilings: Transgenics for Crop Biodiversity
	By: Jonathan Gressel ISBN: 0801887194 Publisher: The Johns Hopkins University Press Release Date: 12 February, 2008 Bioscience book rank: 387947
	Exploding the Gene Myth: How Genetic Information Is Produced and Manipulated by Scientists, Physicians, Employers, Insurance Companies, Educators, and Law Enforcers
	By: Ruth Hubbard, Elijah Wald ISBN: 0807004316 Publisher: Beacon Press Release Date: 01 May, 1999 Bioscience book rank: 755324	Ruth Hubbard is a professor emerita of biology at Harvard and a member of the Council for Responsible Genetics, a prominent national bioethics board. In this book (co-written with her son-in-law, Elijah Wald), she takes everything you think you know about genes, genetic health care screening, DNA fingerprinting, the Human Genome Project, and the search for a gay gene and other behavior-related genes, and blows your mind by explaining, point by point, exactly how unreliable, meaningless, and discriminatory each of these much-lauded technologies is. After reading this book, you'll never read a newspaper article about the latest genetic study the same way again. Don't miss it. Ruth Hubbard uses the rhetoric of exaggeration to try to convince us to abandon genetic research. But if genes didn't matter then monkeys could talk and if environment didn't matter then we wouldn't have schools. Obviously they BOTH matter. <p>Let us use the objective methods of science to document the specifics of what is genetically determined and what is environmentally determined. <p>Any serious AIDS researcher knows that without genetic research we have no chance of defeating AIDS. Obviously we need to study genetics to maintain progress against disease. Dr. Hubbard gives her readers much to think about, and she backs up everything she's written. She explains how the popularly-held reductionist view of genetics does not tell the whole story. Her book explains how the public often only hears one side of the story when it comes to the potential of the latest genetic technologies.
	Principles of Medical Genetics
	By: Thomas D., M.D. Gelehrter, Francis S. Collins, David Ginsburg ISBN: 0683034456 Publisher: Lippincott Williams & Wilkins Release Date: 15 January, 1998 Bioscience book rank: 415190	This book is good for those who want to learn about genetics without reading a tedious, text-ridden book. The diagrams are simple enough to understand without being too involved. The text, usually complete, lacks in some areas. That's why I rated it a "4" instead of "5". I would recommend this book for graduate students in the "Biomedical sciences" and also dedicated medical students want a strong background in genetics.
	Gregor Mendel: And the Roots of Genetics (Oxford Portraits in Science)
	By: Edward Edelson ISBN: 0195150201 Publisher: Oxford University Press, USA Release Date: 11 October, 2001 Bioscience book rank: 831641
	Molecular Genetic Analysis of Populations: A Practical Approach (Practical Approach Series)
	By: A. R. Hoelzel ISBN: 0199636354 Publisher: Oxford University Press, USA Release Date: 11 June, 1998 Bioscience book rank: 878456
	Genetics and Molecular Biology of Muscle Adaptation (Advances in Sport and Exercise Science)
	By: Neil Spurway, Henning Wackerhage ISBN: 0443100772 Publisher: Churchill Livingstone Release Date: 15 November, 2006 Bioscience book rank: 827933
	Genetic Analysis of Complex Disease
	By: Jonathan L. Haines, Margaret A. Pericak-Vance ISBN: 0471089524 Publisher: Wiley-Liss Release Date: 05 May, 2006 Bioscience book rank: 804615	It's a good book for historical context and perspective from true experts in the field. The field of human genetics advances at the speed of light - if you want up to the minute information, read journal articles. I bought this book on the recommendation of a professor but it really isn't that good of book. It is already out of date as it focuses primarily on linkage analysis with only a cursory look at association studies. Moreover most of the coverage of association is family based studies and not the more common case-control design. <br /> <br />Finally, I bought this book b/c it mentions that it covers multiple comparisons - my area of research. It doesn't at all! There is a slight mention that multiple comparisons can be a problem but that is it! <br /> <br />There are much better books out there...
	Genetic Programming III: Darwinian Invention and Problem Solving
	By: John R. Koza, Forrest H. Bennett III, David Andre, Martin A. Keane ISBN: 1558605436 Publisher: Morgan Kaufmann Release Date: 15 May, 1999 Bioscience book rank: 604513	my five stars are just to counteract the single star from the idiotic reviewer who gave the book one star w/o even bothering to read it. i haven't read this volume yet either, but i just ordered it and it's on its way; i'm certain i won't be disapointed. i'm a programmer and an artist and i use GP effectively to evolve forms both sonic and visual. just because you know your field(s) doesn't mean you can't benefit from a knowledge of evolutionary algorithms, quite the contrary. we have koza and friends to thank for a lot of inspirational work. i for one enjoy the interaction that i have with my algorithms, and since i'm the fitness function, forms crop up which never would have if either i or the machine were working alone. apologies for being guilty of the same crime as said reviewer but i feel in this case it's justified. Genetic programming is like a new Big Bang in computer universe.<br>Reach the automatic programming level is a revolution that will affect the way things are done today.<p>In a very cientifyc way, the book shows all the aspects of how to get ready for this evolution. Why this book, when there are several shorter books on GP, and its principle author, John Koza, has written two other, more general and equally voluminous books on GP? This book addresses how to evolve program architecture, that's why! Living organisms didn't grow arms and eyes through simple mutation. It required more subtle genetic operators. Traditional genetic operators (as used in genetic algorithms) may be sufficient for evolving solutions to optimization problems where the structure if not the specifics of each solution is pretty much the same. But to effectively evolve program structures, you need architecture altering genetic operators. This book provides motivations in computer science, foundations in biology, and explanations in English.
	Neurobehavioral Genetics: Methods and Applications, Second Edition
	By: Byron C. Jones, Pierre Mormede ISBN: 084931903X Publisher: CRC Release Date: 30 August, 2006 Bioscience book rank: 875637