Modern Genetic Analysis: Integrating Genes and Genomes

The description of the book said it was in "good" condition, but when I received it (only 2 days later), it didn't look like it had even been opened. Would definitely order from these guys again. Thanks

The processing of the order was very fast and the product was in excellent condition. Thank you!

In the last few years several very good textbooks and monographs in genetics have appeared, due mainly to the success of various genome projects and also to the rise of bioinformatics as a new discipline in biology, computer science, and mathematics. Most of these textbooks have appeared in many prior editions, and comparing these older editions with the newest ones, one can indeed see a remarkable difference in enthusiasm in the authors. They are clearly very excited about the developments in molecular biology and genetics that have taken place and the confidence among biologists that the fundamental understanding of life is finally within reach. Readers can share their excitement by the study of these books, and doing so one cannot help but be marveled by the incredible ingenuity of the scientific methods used to unravel the processes of life. Of all these excellent books, I find this one to be the best, and my judgment of the book's quality is from the standpoint of someone who is very involved in the algorithms behind bioinformatics and mathematical biology and is attempting to gain, as quickly as possible, the necessary background in genetics. My review therefore will be primarily addressed to those mathematicians or even physicists who plan on moving into bioinformatics. To relative newcomers to genetics such as myself, the learning of molecular biology and genetics can involve a huge amount of memory work. To the more mathematically-inclined reader, the memorization of facts can be most unpalatable. The learning of the material in this book will also involve such extreme exercises in memory, but there are a few strategies that the authors employ that, even though they were directed at a general readership, actually serve to make the learning much easier for the mathematician or mathematical biologist. These are the use of concept maps and the assigning of "challenging problems" at the end of most chapters in the book. These serve effectively to make the reader think through and interconnect the many concepts, which for the mathematician who is used to the economy of thought that mathematics brings, is an absolute necessity for the learning experience. Also, the authors are well aware of the need for students to learn how to analyze data and interact with online databases, so a lot of the material in the book is written to address this need. Even from merely an aesthetic point of view the book is exceptional, as the soft colors used in the illustrations are very beautiful, and actually serve to make the learning of the material very pleasureful. And in addition, the reader can access the book's Website and follow the many animations that were put together for the book. And here again, the playing of these animations increase the speed in which one can learn the subject. The authors also ask the readers to consider the impact that biotechnology and genetic engineering will have in the upcoming decades. One of the most dramatic, and I th

I'm very impressed with the excercises in the end of every chapter. The excercises are fun and not too difficult.The material is very well illustrated. Again, good work .

Genetics has traditionally been taught with the topics in historical order, starting with Mendel and only later reaching molecular genetics. However, it is much more logical to explain Mendelian genetics in the context of molecular genetics. (No other science abandons a logical building-up of concepts in return for historical chronology!) Griffiths and colleagues are the first to write a text with this preferable and long-overdue approach. Their overall organization is the best that I've seen. While many of the chapters are very well written, there are some parts of the book that are substandard and hopelessly jumbled, such as the chapter on mutational mechanisms and DNA repair. As this is a first edition, I am optimistic that these problems will be ironed out in the second edition. Another criticism is that the figures are adequate but not outstanding; the artists should take lessons from their colleagues who worked on Genetics: From Genes to Genomes by Hartwell and colleagues. Despite its drawbacks, I prefer this text to others that are available.