Modern Genetic Analysis: Integrating Genes and Genomes

Rating:
Summary: Another winner for Anthony Griffiths.
Review: Anthony Griffiths is the principle author of both 'An Introduction to Genetic Analysis' and 'Modern Genetic Analysis.' The former book is in its sixth edition, while the later is in it's second. I highly recommend both textbooks as the best teaching texts I have ever come across. Personally however, I prefer using 'Modern Genetic Analysis' because it is easier to understand, and less frustrating and confusing for students. The 'Introduction to Genetic Analysis' textbook is larger, more annotated, and has more difficult problems. The 'Modern Genetic Analysis' textbook provides a better basic framework on which to build an understanding of genetics, without going into too many unnecessary details that (in my opinion) only confuse students new to the subject.

The second edition of 'Modern Genetic Analysis' is very similar to the first edition, and only about ten percent of the material (at most) has been changed. Most of the problem sets are the same, but have been renumbered. This is actually a teaching advantage because it gives students the option of buying used copies of the first edition rather than new copies of the second.

One major improvement in the second edition, however, is the addition of internet-based genetics tutorials. Students are directed to the various public genome databases on the internet, used by real researchers, and are given practice assignments to do. They are shown how to conduct gene and protein homology searches, how to find open reading frames, and how to access other forms of information from the various public domain databases on the internet. Since internet databases have now become one of the most important tools available to geneticists these tutorials are a welcome addition to this textbook. I highly recommend it.

Greg Doheny (Vancouver, Canada)

Rating:
Summary: Another winner for Anthony Griffiths.
Review: Anthony Griffiths is the principle author of both 'An Introduction to Genetic Analysis' and 'Modern Genetic Analysis.' The former book is in its sixth edition, while the later is in it's second. I highly recommend both textbooks as the best teaching texts I have ever come across. Personally however, I prefer using 'Modern Genetic Analysis' because it is easier to understand, and less frustrating and confusing for students. The 'Introduction to Genetic Analysis' textbook is larger, more annotated, and has more difficult problems. The 'Modern Genetic Analysis' textbook provides a better basic framework on which to build an understanding of genetics, without going into too many unnecessary details that (in my opinion) only confuse students new to the subject.

The second edition of 'Modern Genetic Analysis' is very similar to the first edition, and only about ten percent of the material (at most) has been changed. Most of the problem sets are the same, but have been renumbered. This is actually a teaching advantage because it gives students the option of buying used copies of the first edition rather than new copies of the second.

One major improvement in the second edition, however, is the addition of internet-based genetics tutorials. Students are directed to the various public genome databases on the internet, used by real researchers, and are given practice assignments to do. They are shown how to conduct gene and protein homology searches, how to find open reading frames, and how to access other forms of information from the various public domain databases on the internet. Since internet databases have now become one of the most important tools available to geneticists these tutorials are a welcome addition to this textbook. I highly recommend it.

Greg Doheny (Vancouver, Canada)

Rating:
Summary: An incredible job
Review: 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 think the most important paragraphs in the book is the one in which the authors state that "the public cannot relay on reports published in the general media for the kind of critical evaluation needed to make informed personal and political decisions. Nor can it be left to experts, who have their own biases and agendas. There is no substitute for acquiring the kind of basic knowledge of genetics that is essential to all informed decisions." Their goal is provide the background that will allow the reader to differentiate between bad and good claims about genetics, and to think critically about both the negative and positive aspects of genetic research and genetic engineering.

I believe the use of genetic engineering and biotechnology in all biological systems, both human and non-human, holds the best hope for the future of life on earth. This book has given an excellent introduction to the biology and genetics behind these technologies. The excitement and optimism expressed in the book will no doubt encourage many individuals to further their studies in genetics and enter the new biological professions of the 21st century.