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Information Theory, Evolution, and the Origin of Life, by Hubert P. Yockey
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Information Theory, Evolution and the Origin of Life presents a timely introduction to the use of information theory and coding theory in molecular biology. The genetical information system, because it is linear and digital, resembles the algorithmic language of computers. George Gamow pointed out that the application of Shannon's information theory breaks genetics and molecular biology out of the descriptive mode into the quantitative mode and Dr Yockey develops this theme, discussing how information theory and coding theory can be applied to molecular biology. He discusses how these tools for measuring the information in the sequences of the genome and the proteome are essential for our complete understanding of the nature and origin of life. The author writes for the computer competent reader who is interested in evolution and the origins of life.
- Sales Rank: #3024573 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2005-04-18
- Original language: English
- Number of items: 1
- Dimensions: 8.98" h x .75" w x 5.98" l, 1.06 pounds
- Binding: Hardcover
- 272 pages
- Used Book in Good Condition
Review
"These theories on information and on coding have been developed by Yockey to deal with communications problems in a quantitative and mathematical manner in molecular biology, in order to overcome the gap of lack of communication between the molecular biologists and the mathematicians, providing mathematical definitions for the vocabulary with which basic questions in molecular biology are debated....Such a book is not only useful for advanced undergraduates, but...for graduates and fullly developed research scientists in cellular and molecular biology and evolution." Cellular and Molecular Biology
."..written in a very lucid style. The roles of physics, chemistry and mathematics in biology are discussed again and again and the similarity between theoretical physics and theoretical molecular biology is always brought out. It is emphasised that molecular biology applications of information and coding theories should either explain the known experimental data or should suggest further experiments for verification of theoretical results obtained." J.N. Kapur, Mathematical Reviews
About the Author
Hubert Yockey is the author of Information Theory and Molecular Biology (1992).
Most helpful customer reviews
1 of 1 people found the following review helpful.
Where did all that information that in the cells of living organisms come from in the first place?
By WSV1975
Bring your calculus and probability and statistics books with you when you sit down to read this book. Also, you will need a good, clear knowledge of molecular biology and the cell's design and processes to really understand all of what Yockey is telling us. However, you can cheat, not read the math, and still understand that in large measure Yockey is right. Biology is basically a system of information and communication with in the cell. It is now clear to all concerned that the cell has a system of communication which it uses to create proteins and the essential products of life, construction of the components, and development of the processes that cause life to exist. Yockey spends quite a bit of time describing how the Genetic code works and is almost perfect in conceiving genetic information for life. He tries to explore how it got to be perfect, given the short time available on thee earth between the condensation of water and the achievement of life, and decides, it is just unknowable to us today. He then spends a great deal of time looking at the science of "how life started in the first place", traces the history of the science, and finally decides "it is just unknowable.' This "unknowable fact" is disconcerting to most people, by Yockey essentially tells us to "grow up and get over it". Too much time has passed since the creation of the first life, and we are no closer to an explanation than the ancient Greeks were. It is just unknowable. Good book that everyone interested in the science of life should read. But be warned, this is not a novel; it is not a real quick read.
44 of 47 people found the following review helpful.
Information Theory as a Foundation of Biology
By Mr. Gerard Battail
The previous book of Hubert P. Yockey, 'Information theory and molecular biology', published in 1992, was unfortunately out of print for many years. Publication of 'Information theory, evolution, and the origin of life' makes available much of its material. The scope of the new book has moreover been broadened to encompass the hot topics mentioned in the title.
The academic world is divided into narrow compartments, each having its own methods, language, habits and gurus. Communication between them is made difficult by the lack of a common language so they most often ignore each other. When a concept from one of them eventually penetrates another one, it often assumes a superficial form which leads to misunderstandings. Although this may sometimes be better than plain ignorance, it results in rooting prejudices wrongly believed to hold true in other disciplines, and they live long for lack of proper internal criticism. Yockey is at the antipodes of this parochial system. His life-long efforts have been intended to convince biologists that information theory, a discipline originating in communication engineering, is the proper tool for dealing with molecular biology, hence should be at the heart of biology as a whole. He possesses to a high degree the needed didactic talents, as well as an extreme rigor in vocabulary and reasoning. Not only Yockey transcends disciplinary barriers, but also the famous divide between the 'two cultures'. His extremely broad scholarship is not purely scientific, but also historical, philosophical and literary. All chapters of the book bear in epigraph quotations from poets as well as from scientists or philosophers of all times, always wonderfully relevant to the subject matter. Similarly, many excellent quotations pepper the text. Yockey obviously does not think that scientific rigor demands dullness. On the contrary, the book is written in a witty and often caustic style. It abounds with historical anecdotes and comments, often intended to rehabilitate forgotten authors of major concepts or discoveries and to denounce usurped fames (one may disagree with some abrupt judgements).
As an engineer, I am convinced that information theory is the proper tool for dealing with molecular biology. Indeed, genomes communicate the genetic message as sequences of symbols (that these symbols are molecules does not mean they are relevant to chemistry only), and information theory is precisely the science of communication by means of symbol sequences. As a mathematical science, its results consist of theorems which can be thought of as predetermined forms which need 'only' to be filled with biological matter. But Shannon, the founding father of information theory, warned us that this task is far from trivial: 'Seldom do more than a few of nature's secrets give way at one time. [...] A thorough understanding of the mathematical foundations and its communication application is surely a prerequisite to other applications. I personally believe that many of the concepts of information theory will prove useful in these other fields [i.e., social sciences] but the establishing of such applications is not a trivial matter of translating words to a new domain, but rather the slow tedious process of hypothesis and experimental verification.' (from 'The Bandwagon', 1956, in 'Claude Elwood Shannon collected papers', edited by N.J.A. Sloane and A.D. Wyner, IEEE Press, 1993, page 462). Although Shannon made these comments about social sciences, I think that they perfectly apply to biology. Yockey's efforts are precisely aimed at letting biologists understand how relevant and potentially rewarding to their discipline is information theory.
Besides it presents compelling arguments in favor of the use of information theory in biology, the book also considers biological evolution and the origin of life. Since the genome is the medium which transmits the hereditary information through time, information theory is relevant to evolution just as it is to genetics. The book also critically reviews the many scientific and philosophical hypotheses about the origin of life, and shows that none of the alleged scenarios is likely to properly describe the events that actually occurred. The origin of life may well remain unknowable. Similarly, the mathematicians know since G�del that propositions may be undecidable so, within a given system of axioms, it may be impossible to prove true results. The algorithmic information theory explains why it is so in a surprisingly simple manner: it results from the necessarily finite amount of available information. That the origin of life may remain a mystery forever is the bad news of the book. The good news is that information theory enables dealing with life phenomena by 'measuring, counting and weighting together with reasonings from postulates or axioms', a sentence which is quoted from Socrates at the very beginning of the book. Using information theory, biology can thus reach the status of a quantitative science. Biologists did not yet realize their luck, however. The book bears in epigraph a quotation from Niccolo Machiavelli who very lucidly states how difficult and dangerous it is to '[...] initiate a new order of things. For the reformer has ennemies in all those who profit by the old order, and only lukewarm defenders in all those who would profit by the new order'. Yockey's extraordinary book leaves by no means its reader lukewarm and is in itself a big step towards the new order. Although it is mainly intended to biologists, this book can be fruitful to the general reader who is interested in evolution and the origin of life. There are somewhat technical developments, in either information theory or molecular biology, but they are few and can be skipped. An appendix dealing with information theory, a glossary and an index are provided to help the reader.
Gerard Battail
18 of 20 people found the following review helpful.
Quantitative analysis of the human genome, version 2.0
By A Customer
I found this book to be an important and valuable resource while researching a possible Ph.D. thesis topic on interactions of DNA with enzyme pathways. Having previously studied about 95% of the math and spent a month as a Visiting Scholar in the most mathematical of the genetics labs at Harvard Medical School, I feel pretty confident that I can recommend the first half of the book to those seeking to build or broaden their professional knowledge of applied mathematics in the biological and biomedical sciences or in bioengineering. Despite its obvious importance to calculating the information content of proteins, protein folding, and cell-to-cell signalling, information theory is rarely covered in the standard biomathematics texts at all. � I think Cambridge University Press ought to ask Yockey to add text material on traditional subjects like Lottka-Volterra population studies, Turing diffusion models, Hopfield networks, and the like. Also, the book needs more exercises, so it would be easier to use for teaching. And wouldn't it be great if it were packaged in Mathematica or MatLab form! � I wish I could say something intelligent about the applications to molecular biology in the second half of the book, but I don't think I've gotten enough biochemistry and molecular genetics yet. One thing's for sure, though, it's written clearly enough that any molecular biologist familiar with the state of the art ought to be able to gauge its worth pretty quickly. Yockey's math is so good it's pretty hard to imagine he flopped on the science. � Maybe some of my own work will arrive in the 2nd edition. I can hope, can't I?
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