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| 121. An Introduction to Chemistry by Mark Bishop | |
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our price: $111.00 (price subject to change: see help) Asin: 0805321772 Catlog: Book (2001-12-06) Publisher: Benjamin Cummings Sales Rank: 278149 US | Canada | United Kingdom | Germany | France | Japan |
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| 122. High-Yield Biochemistry by R. Bruce Wilcox | |
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our price: $24.95 (price subject to change: see help) Asin: 0683304593 Catlog: Book (1999-01-15) Publisher: Lippincott Williams & Wilkins Sales Rank: 166712 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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| 123. Organic Chemistry With Chemoffice and Infotrac by William H. Brown, Christopher S. Foote | |
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(price subject to change: see help) Asin: 0534166962 Catlog: Book (2001-04-01) Publisher: Brooks/Cole Pub Co Sales Rank: 204682 US | Canada | United Kingdom | Germany | France | Japan |
| 124. Chemistry for Environmental Engineering and Science by Clair N Sawyer, Perry L. McCarty, Gene F. Parkin | |
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our price: $118.75 (price subject to change: see help) Asin: 0072480661 Catlog: Book (2002-08-27) Publisher: McGraw-Hill Science/Engineering/Math Sales Rank: 115240 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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| 125. Fundamentals of Analytical Chemistry (with CD-ROM and InfoTrac) by Douglas A. Skoog, Donald M. West, F. James Holler, Stanley R. Crouch | |
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our price: $137.95 (price subject to change: see help) Asin: 0030355230 Catlog: Book (2003-08-07) Publisher: Brooks Cole Sales Rank: 173006 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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| 126. Biological Sequence Analysis : Probabilistic Models of Proteins and Nucleic Acids by Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison | |
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our price: $34.65 (price subject to change: see help) Asin: 0521629713 Catlog: Book (1999-07-01) Publisher: Cambridge University Press Sales Rank: 62111 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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Book Description Reviews (11)
Probabilistic modeling has been applied to many different areas, including speech recognition, network performance analysis, and computational radiology. An overview of probabilistic modeling is given in the first chapter, and the authors effectively introduce the concepts without heavy abstract formalism, which for completeness they delegate to the last chapter of the book. Bayesian parameter estimation is introduced as well as maximum likelihood estimation. The authors take a pragmatic attitude in the utility of these different approaches, with both being developed in the book. This is followed by a treatment of pairwise alignment in Chapter Two, which begins with substitution matrices. They point out, via some exercises, the role of physics in influencing particular alignments (hydrophobicity for example). Global alignment via the Gotoh algorithm and local alignment via the Smith-Waterman algorithm, are both discussed very effectively. Finite state machines with accompanying diagrams are used to discuss dynamic programming approaches to sequence alignment. The BLAST and FASTA packages are briefly discussed, along with the PAM and BLOSUM matrices. Hidden Markov models are treated thoroughly in the next chapter with the Viterbi and Baum-Welch algorithms playing the central role. HIdden Markov models are then used in Chapter 4 for pairwise alignment. State diagrams are again used very effectively to illustrate the relevant ideas. Profile hidden Markov models which, according to the authors are the most popular application of hidden Markov models, are treated in detail in the next chapter. A very surprising application of Voronoi diagrams from computational geometry to weighting training sequences is given. Several different approaches, such as Barton-Sternberg, CLUSTALW, Feng-Doolittle, MSA, simulated annealing, and Gibbs sampling are applied to multiple sequence alignment methods in Chapter 6. It is very well written, with the only disappointment being that only one exercise is given in the entire chapter. Phylogenetic trees are covered in Chapter 7, with emphasis placed on tree building algorithms using parsimony. The next chapter discusses the same topic from a probabilistic perspective. This to me was the most interesting part of the book as it connects the sequence alignment algorithms with evolutionary models. The authors switch gears starting with the next chapter on transformational grammars. It is intriguing to see how concepts used in compiler construction can be generalized to the probabilistic case and then applied to computational biology. The PROSITE database is given as an example of the application of regular grammars to sequence matching. This chapter is fascinating reading, and there are some straightforward exercises illustrating the main points. The last chapter covers RNA structure analysis, which introduces the concept of a pseudoknot. These are not to be confused with the usual knot constructions that can be applied to the topology of DNA, but instead result from the existence of non-nested base pairs in RNA sequences. The authors discuss many other techniques used in RNA sequence analysis and take care to point out which ones are more practical from a computational point of view. Surprisingly, genetic algorithms and algorithms based on Monte Carlo sampling are not discussed in the book, but the authors do give references for the interested reader. The best attribute of this book is that the authors take a pragmatic point of view of how mathematics can be applied to problems in computational biology. They are not dogmatic about any particular approach, but instead fit the algorithm to the problem at hand.
One chapter covers the basics of dynamic programming for string matching: a staple of bioinformatics computing. The authors come back to it a number of times as they introduce new variations on the string-matching theme. They give about the clearest description of the Needleman-Wunsch and basic variants (including Smith-Waterman) of any book I know. The bulk of the book is devoted to Hidden Markov Models (HMMs), as one might have guessed in a book with Eddy as co-author. It covers the basics of model construction, motif finding, and various uses for decoding. Again, it covers all the basics so clearly you'll want to start coding as soon as you read it. The later sections of the book cover phylogeny and tree building, along with the relationships to multiple alignment. Good, solid, clear writing prepares the reader for texts that may be more specialized, but possibly less transparent. The next-to-last chapter, on RNA folding, is weaker than the ones before, in my opinion. It ties to the other chapters reasonably well in terms of algorithms, but I don't think it does justice to the thermodynamic models of RNA folding. If there is any weakness in this chapter, though, it does not detract from the strengths elsewhere. The final chapter, the "background on probability", is the one that I think needs the most support. If you don't already understand its topics, I doubt that this will help very much. (If you do understand them, you won 't need the help.) There's nothing inherently tricky about probability, but individual distributions carry many assumptions, and I did not see those spelled out well. This shouldn't be the only book in your bioinformatics library. If you really want algorithms, though, it's a good book to have in the collection and one you'll keep coming back to.
I used this book for a bioinformatics class. The instructor's notes were basically a rehash of the textbook. This didn't bother me as there really is no way to improve on what's already in the text. Explanations of the different ways to use HMMs made it easy to write the genefinder we did for our final programming project. I've also written natural language processing software (for text and speech) and I've found this book to be a great reference for probabilistic language modeling algorithms. The material is similar to that found in Jurafsky and Martin, or Manning and Schutz, but the presentation in DEKM provides more insight into how the algorithms work. This should come as no surprise, as the human genome project is perhaps the most successful artificial intelligence project ever undertaken and the authors were instrumental in creating the software used by the HGP. The book by Gusfield is also great for sequence analysis, but there the emphasis is on deterministic modeling, which has it's place if one can't make a probabilistic sequence model. Mining databases of text, image, and sound sequences is becoming more important as more data is available on the web. Books like DEKM are valuable algorithm resources for extracting knowledge all sorts of sequence data. ... Read more | |
| 127. Dana's New Mineralogy : The System of Mineralogy of James Dwight Dana and Edward Salisbury Dana by Richard V.Gaines, H. Catherine W.Skinner, Eugene E.Foord, BrianMason, AbrahamRosenzweig | |
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our price: $325.00 (price subject to change: see help) Asin: 0471193100 Catlog: Book (1997-10) Publisher: Wiley-Interscience Sales Rank: 817573 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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Book Description Reviews (7)
I recommend waiting for the 2nd or 3rd edition to be printed to allow some of the more major errors to be corrected. Also, the pages are of such thin paper that text from the opposite side is readable. This book should actually be sold as a subscription on CD-ROM, with planned updates to implement corrections and additions. ... Read more | |
| 128. Handbook of Plastic Materials and Technology | |
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our price: $395.00 (price subject to change: see help) Asin: 0471096342 Catlog: Book (1990-04) Publisher: Wiley-Interscience Sales Rank: 748208 US | Canada | United Kingdom | Germany | France | Japan |
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| 129. Chemistry and Media Companion CW Pkg. (3rd Edition) by John McMurry, Robert C. Fay | |
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our price: $136.00 (price subject to change: see help) Asin: 0130576778 Catlog: Book (2000-11-28) Publisher: Prentice Hall Sales Rank: 618889 US | Canada | United Kingdom | Germany | France | Japan |
| 130. The Complete Project Management Office Handbook by Gerard M. Hill | |
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| 131. Chemical Kinetics (3rd Edition) by Keith J. Laidler | |
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(price subject to change: see help) Asin: 0060438622 Catlog: Book (1997-01-07) Publisher: Benjamin Cummings Sales Rank: 516566 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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| 132. Analytical Chemistry in a GMP Environment: A Practical Guide by Jim Miller | |
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our price: $138.00 (price subject to change: see help) Asin: 0471314315 Catlog: Book (2000-04-17) Publisher: Wiley-Interscience Sales Rank: 160614 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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| 133. Organic Chemistry by T. W. Graham Solomons, Craig B. Fryhle | |
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(price subject to change: see help) Asin: 0471190950 Catlog: Book (1999-07-01) Publisher: John Wiley & Sons Sales Rank: 359785 US | Canada | United Kingdom | Germany | France | Japan |
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| 134. The Phylogenetic Handbook : A Practical Approach to DNA and Protein Phylogeny | |
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our price: $65.25 (price subject to change: see help) Asin: 052180390X Catlog: Book (2003-09-01) Publisher: Cambridge University Press Sales Rank: 104286 US | Canada | United Kingdom | Germany | France | Japan |
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| 135. Physical Chemistry: Principles and Applications in Biological Sciences (4th Edition) by Ignacio Tinoco, Kenneth Sauer, James C. Wang, Joseph D. Puglisi | |
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our price: $106.00 (price subject to change: see help) Asin: 013095943X Catlog: Book (2001-08-06) Publisher: Prentice Hall Sales Rank: 114221 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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Book Description Reviews (9)
The 3rd edition of the book, in this reviewer's memory, was remarkable only in its staggering lack of focus and explanatory power. This 4th edition vastly improves on that effort. It has to be said that thermodynamics without statistical mechanics is probably always going to be obscured by the fog of axioms, unless the reader exhibits some remarkable intuitiveness about entropy and partial derivatives. The first few chapters of the book focus on thermodynamics from this axiomatic approach, and may be the reason why so many undergraduate students find the whole thing so distasteful. But it has to be said that the authors spared some effort in trying to ameliorate the abstractness of thermo, by interjecting molecular interpretations of thermo phenomena every now and then. Once the reader has sped past the thermodynamics, and free energy equilibria chapters, he can be expected to come upon a series of well-written chapters on kinetics. The chapters are generously illustrated with informative diagrams, and most modern and relevant topics are discussed, such as transition state theories, enzyme kinetics, allostery (although the section on allostery was slightly underwhelming. I recommend that the authors develop this section more carefully by considering the various regimes of allostery.) A valiant attempt is made for discussing quantum mechanics and applications to physical chemistry problems. However, it would seem that quantum mechanics just can't be taught in one chapter, although it's essential in proper understanding of spectroscopy, which forms the basis for the subsequent 'applications' chapter. The book ends with a discussion of statistical thermodynamics. If the reader begins here and reads it carefully, it is likely that he can surmount the comprehension problems in the initial thermodynamics chapters. This is only the opinion of this reviewer though. In summary, this is a good book with a comprehensive collection of topics relevant to the modern biology researcher (be you biochemist, biophysicist, chemical biologist, or plain vanilla biologist). The undergraduate student may be bewildered by the variety of topics presented in such a succint manner. The book has easy to read type, sometimes crammed with too much text. There is an absolutely excellent selection of problems, with an accompanying solutions manual that bears only a few errors. Let it be said that there are many many worse physical chemistry books out there, and giving this book anything less than 3 stars would corrupt the usefulness of the ... ratings system.
This book contains just the right depth for a reference in biophysical chemistry. The concepts are always presented with biological applications in mind. The topics covered, from thermodynamics to kinetcs, quantum chemisty and the physics behind the main biophysical techniques, are exactly what I was looking for. I was originally intending to buy the 3 volume Cantor and Schimmel series, but I have found that this book gives me everything I need for a much lower price.
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| 136. DARWINS BLACK BOX: THE BIOCHEMICAL CHALLENGE TO EVOLUTION by Michael J. Behe | |
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our price: $10.20 (price subject to change: see help) Asin: 0684834936 Catlog: Book (1998-03-20) Publisher: Free Press Sales Rank: 2203 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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Book Description Virtually all serious scientists accept the truth of Darwin's theory of evolution. While the fight for its acceptance has been a long and difficult one, after a century of struggle among the cognoscenti the battle is over. Biologists are now confident that their remaining questions, such as how life on Earth began, or how the Cambrian explosion could have produced so many new species in such a short time, will be found to have Darwinian answers. They, like most of the rest of us, accept Darwin's theory to be true. But should we? What would happen if we found something that radically challenged the now-accepted wisdom? In Darwin's Black Box, Michael Behe argues that evidence of evolution's limits has been right under our noses -- but it is so small that we have only recently been able to see it. The field of biochemistry, begun when Watson and Crick discovered the double-helical shape of DNA, has unlocked the secrets of the cell. There, biochemists have unexpectedly discovered a world of Lilliputian complexity. As Belie engagingly demonstrates, using the examples of vision, bloodclotting, cellular transport, and more, the biochemical world comprises an arsenal of chemical machines, made up of finely calibrated, interdependent parts. For Darwinian evolution to be true, there must have been a series of mutations, each of which produced its own working machine, that led to the complexity we can now see. The more complex and interdependent each machine's parts are shown to be, the harder it is to envision Darwin's gradualistic paths, Behe surveys the professional science literature and shows that it is completely silent on the subject, stymied by the elegance of the foundation of life. Could it be that there is some greater force at work? Michael Behe is not a creationist. He believes in the scientific method, and he does not look to religious dogma for answers to these questions. But he argues persuasively that biochemical machines must have been designed -- either by God, or by some other higher intelligence. For decades science has been frustrated, trying to reconcile the astonishing discoveries of modern biochemistry to a nineteenth-century theory that cannot accommodate them. With the publication of Darwin's Black Box, it is time for scientists to allow themselves to consider exciting new possibilities, and for the rest of us to watch closely. Reviews (425)
Miller has won several awards for outstanding teaching, and is co-author of well-received high school and college textbooks. He can communicate. He's also a conscientious Roman Catholic, acutely aware of the conflicts that can arise when sincere religious convictions confront the sometimes disturbing and often counter-intuitive findings of modern science. A little sampler from Miller's writings may hopefully stir the more conscientious among Behe's sympathizers to look into what Miller and other interested scientists have to say about the book and about the intelligent design argument in general. In March 2002, Miller and physicist Lawrence Krauss took part in a debate before the Ohio Board of Education. Their opponents were Stephen Meyer and Jonathan Wells, senior fellows (as is Behe) at the Discovery Institute. The Institute, ID's home base, is a 'think tank' advocating what it calls "the renewal of science and culture". Its primary funding comes from wealthy conservative Christians, notably Christian Reconstructionists Roberta and Howard Ahmanson. Miller wrote a blow-by-blow account after the debate (the full text is on his website), in which he recalls Krauss' insight that "the two-on-two format of this presentation wouldn't render a fair picture of the sentiment in the scientific community. A more reasonable arrangement .. would have one member of the Discovery Institute on one side, and ten thousand scientists on the other .. two of the Discovery Institute's nine senior fellows were the ID speakers who were there; if they had not been there, the only place to find more advocates for ID would be back at the Discovery Institute. If Krauss or I had not been there, however, we could have been replaced by scores of scientists from just about any college or university anywhere in the state of Ohio." In another article, "Answering the Biochemical Argument From Design" (also on his website), Miller gives Behe credit for recognizing that "the mere existence of structures and pathways that have not yet been given step-by-step Darwinian explanation does not make much of a case against evolution. Critics of evolution have laid down such challenges before, only to see them backfire when new scientific work provided exactly the evidence they had demanded. Behe himself once made a similar claim when he challenged evolutionists to produce transitional fossils linking the first fossil whales with their supposed land-based ancestors. Ironically, not one, not two, but three transitional species between whales and land-dwelling Eocene mammals had been discovered by the end of 1994 when his challenge was published." Darwin's theory states that "evolution produces complex organs though a series of fully-functional intermediate stages. If each of the intermediate stages can be favored by natural selection, then so can the whole pathway." Behe argues that due to the "irreducible complexity" of biochemical systems like those described in his book, there can be no fully-functional intermediate stages; all parts must be present for any function at all. Miller asks, "Is there something different about biochemistry, a reason why Darwin's answer would not apply to the molecular systems that Behe cites? "In a word, no. "In 1998, Siegfried Musser and Sunney Chan described the evolutionary development of the cytochrome c oxidase protein pump, a complex, multipart molecular machine that plays a key role in energy transformation by the cell. In human cells, the pump consists of six proteins, each of which is necessary for the pump to function properly. It would seem to be a perfect example of irreducible complexity. Take one part away from the pump, and it no longer works. And yet, these authors were able to produce, in impressive detail, "an evolutionary tree constructed using the notion that respiratory complexity and efficiency progressively increased throughout the evolutionary process". "In 1996, Enrique Meléndez-Hevia and his colleagues published, in the Journal of Molecular Evolution, a paper entitled "The puzzle of the Krebs citric acid cycle: Assembling the pieces of chemically feasible reactions, and opportunism in the design of metabolic pathways during evolution" .. this paper does exactly what Behe says cannot be done, even in principle - it presents a feasible proposal for its evolution from simpler biochemical systems .. what all of this means, of course, is that two principal claims of the intelligent design movement are disproved, namely that it is impossible to present a Darwinian explanation for the evolution of a complex biochemical system, and that no such papers appear in the scientific literature. It is possible, and such papers do exist." Miller shows in detail that even systems Behe proposes as "irreducibly complex" are not so. "Nature presents many examples of fully-functional cilia that are missing key parts .. this leaves us with two points to consider: First, a wide variety of motile systems exist that are missing parts of this supposedly irreducibly complex structure; and second, biologists have known for years that each of the major components of the cilium, including proteins tubulin, dynein, and actin have distinct functions elsewhere in the cell that are unrelated to ciliary motion .. what this means, of course, is that a selectable function exists for each of the major parts of the cilium, and therefore that the argument [for irreducible complexity] is wrong." Miller demonstrates similar difficulties with Behe's claim regarding the bacterial flagellum. He concludes, "At least four key elements of the eubacterial flagellum have other selectable functions in the cell that are unrelated to motility .. by demonstrating the existence of such functions, even in just a handful of components, we have invalidated the argument". Miller's verdict: "Prof. Behe argues that anti-religious bias is the reason the scientific community resists the explanation of design for his observations:
A lot of people on both sides just talk pass each other, and project their image of the "other" side the way they wish to see it. When Darwinists think of Intelligent Design, they think of 7-Day Creationists who want to burn scientists at the stake. When 7-Day Creationists think of evolution, they think of that athiest Joseph Stalin shoving Christians into Gulags (and Daniel Dennet apparently thinks religious people should be in cages, so maybe that assumption isn't very far off). Behe's book is not about the Bible, or Christianity, or Creationism, or even anti-evolution. It is anti-aimless natural selection. Behe sets up many examples w/in biology and biochemistry that show how the human cell and its processes are dependent on complex plans that could not have developed gradually. Blood coagulation requires "knowledge" of the end result in order for the process to begin. The immune system requires separate parts to evolve at the same time to meet a common goal w/in the system. There are "blueprints" w/in life that mutation and natural selection cannot explain, especially w/in the timeframe of earth's development. Does this disprove evolution? No. Does it prove the existence of God? No, not necessarily, although you'd have to provide a funky explanation involving (gasp! oh no!) metaphysics. The Power of "Life" as the Grand Unified Theory of Physics, or something. So this book does prove the need for a new explanation that is going to have to account for the borderline miraculous development of life, since life is so "irreducibly complex". Francis Crick, probably seeing the writing on the wall because of his analysis of DNA, jumped on the panspermia bandwagon early on. I always wondered why he did so, because in High School and College I was never told of the weaknesses w/in Darwinism, and here comes Crick w/ this funky idea of panspermia. Why, I thought? Crick's obviously a genius, wasn't he aware that natural selection is flawless and infallible? Now I know why. Of course, panspermia has its own problems, as it just pushes the problems of chaotic life ex nihilo back a couple of galaxies and epochs. Behe also shows how many of the arguments against Intelligent Design are Strawmen fallacies, such as "Well, God wouldn't have done it that way!" Well, why not? That's not an observation of nature, but a metaphysical argument, and one that comes from Sartrian "bad faith". Behe takes from the bottom up, and shows how the observation of cells and cellular mechanisms leads to planning and design. The identity and characteristics of the Designer--is he perfectly Good or does he have a mean side, is he Deistic or Theistic, would he make the universe perfect from a human perspective or would he make the universe glaring w/ imperfections--is for another book and another time. Like a good Belisarius (the Byzantine commmander who ushered in the strategy of defensive warfare), Behe merely stakes out a sound corner w/in science that orthodox scientific opinion cannot explain (irreducible complexity), and he sits there, secure.
Though to say that this book disproves or even dismisses evolution and natural selection as viable scientific theories is disingenuous at best, and dishonest at worst. Behe even says that beyond a limited set of structures that appear to be evidence of intelligent design, there are many structures that are not clearly designed (and most likely aren't, he admits). To explain these structures and organisms, he gives a variety of options, ending with what is clearly natural selection, though he declines to name it as such. Finally, while criticising evolutionary proponents for attacking a straw man (the watchmaker for darwinists, Richard Dawkins for intelligent design-ists), this is exactly what he does -- since Darwin's followers haven't demonstrated a valid argument/scenario for the basic structures of the cell, then entire theory is invalid (including portions that have been experimentally shown true on an organism level). Finally, Behe doesn't give any sort of explanation or theory for how some basic structures of the cell are evidence of design, but others are not. He implies that those not showing evidence of design could have evolved, but does not explain why some more complicated structures could be designed before other more basic structures evolved. Enjoy this book and the questions it opens, but it is far from the final word on the origins and progression of life on Earth (just as Dawkins' books aren't, either). ... Read more | |
| 137. Organic Chemistry I (Cliffs Quick Review) by FrankPellegrini | |
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our price: $8.96 (price subject to change: see help) Asin: 0822053268 Catlog: Book (1997-09-12) Publisher: Cliffs Notes Sales Rank: 64731 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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| 138. Chemistry: Science of Change by David W. Oxtoby, Wade A. Freeman, Toby F. Block | |
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our price: $146.95 (price subject to change: see help) Asin: 0030331889 Catlog: Book (2002-06-21) Publisher: Brooks Cole Sales Rank: 26651 Average Customer Review: US | Canada | United Kingdom | Germany | France | Japan |
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| 139. Biochemistry (2 volume set): The Chemical Reactions of Living Cells, Second Edition by David Metzler, Carol M. Metzler, David E. Metzler | |
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our price: $170.00 (price subject to change: see help) Asin: 012492543X Catlog: Book (2003-04) Publisher: Academic Press Sales Rank: 393891 US | Canada | United Kingdom | Germany | France | Japan |
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| 140. Organic Chemistry by Marye Anne Fox, James K. Whitesell | |
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(price subject to change: see help) Asin: 0763721972 Catlog: Book (2004-01-01) Publisher: Jones & Bartlett Publishers Sales Rank: 417094 US | Canada | United Kingdom | Germany | France | Japan |
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