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Rating: 
Summary: Poorly organized overpriced book
Review: Although the book is presented as an introduction to the topic, its organization assumes that the reader has already been working in the area. Two of the chapters (1 and 17) are a waste of space. The first chapter presents a (useless) introduction to internet, while chapter 17 attempts (and fails to do so) to explain Perl in the context of bioinformatics. For the same money you can find far better books in the market. The good thing is that I only borrowed the book :)
Rating: 
Summary: Great book, easy to follow, expert authors
Review: Five stars, a great place for people like me (trained as a biochemist) to start in a field that I know is going to be more and more important as to how I do my work in the future. I've been able to use basic things like BLAST more effectively, and finally understand that there are other ways to look at sequence besides BLAST and how to apply those tools to my own sequences. I really like the Entrez chapter, since Entrez does so much more than I ever realized it could do! I haven't ventured into the advanced territory yet (like microarrays), but at least I understand what I'm hearing in seminars now and what all those red and green spots actually represent.I read the review by "a reader in Cambridge, MA", and don't understand what their beef is with this title. The authors have tried (and have succeeded) in pointing the readers to the best PUBLIC DOMAIN software out there, augmenting documentation that's generally lacking. Have you ever tried finding good docs on the NCBI Web site? Well, these two editors got them for you. UNIX-centric? I can't speak for the first edition, but check out the second edition and see that there's tons of Netscape screen dumps demonstrating the tools and making things as easy as possible for the reader. I originally bought this because of the reviews published in Science and Cell and a slew of other journals, all favorable, so the "reader in Cambridge" seems out of step with all of the published journal reviews of the book. Everyone's entitled to their opinion, but I just wanted to point this out for a sense of balance here, especially since my own experience was so different.
Rating: 
Summary: Bioinformatic for the beginner...
Review: I guess that everybody interrested by this kind of book knows already a little about bioinformatic and wants to improve his bioinformatician skill. So forget about this book:
This is really a well-documented introduction to all the methods currently used by every biologist or biology student, such as Blast, Clustal, multiple alignement or use of web-interface for submiting sequence.
So get it if you need a clear introduction to the field, but if you already know a little bit about bioinfo, immediately choose a more detailed book.
Rating:
Summary: Excellent Broad-Based Coverage
Review: I own both the first and second editions of this book, and really think they're great. The second edition really is a brand-new book, seeing how far this field has come in a short period of time, with a lot of new material in the second edition, like on sequence assembly, comparative genomics, and BioPerl. Looking at the chapters that have been retained from the first edition, there has been extensive rewrites -- pretty impressive for a "new edition" that's now almost 100 pages thicker than the first edition was. I also like how the second edition broadens out to resources available throughout the world, using a wider set of authors (meaning well beyond NCBI) than the first edition did. Baxevanis and Ouellette seem to have a very good sense not just for where the field is, but where the field is going, and who the major players are -- the inclusion of a chapter on whole-genome analysis (microarrays) is evidence of that, material that doesn't appear in any of the other available titles, to my knowledge. I can see how an advanced reader interested in the mathematics underlying commonly-used bioinformatics technqiues would move to a title like Durbin et al., and these two books really are the "best in class" -- start with the Baxevanis title, and move onto the Durbin title from there. They're really the only two you'll need. I personally don't know anyone who's been disappointed by these two books.
Rating: 
Summary: Mileading, disappointing, useless
Review: I've looked at quite a few of the books in the field, but this one really stands head-and-shoulders above the rest. The people putting the book together are the experts in the field, and often are the ones who developed the techniques or the strategies that more and more of us depend on in trying to analyze our sequence data -- if you're gonna learn, might as well learn from the experts. The practical nature of the book has been very helpful to me in my work, striking a nice balance between the theory and practice -- some of the other books are either too mathematical or too hand-wavy. I also appreciate having the problem sets at the ends of the chapters, so I can see if I actually understood what I read. If I were teaching, I could easily see this making a really nice textbook. In Eric Lander's forward, the authors are given high marks and praise -- if he thinks so, then that's good enough for me!
Rating: 
Summary: Somewhat more than an out-of-date catalog of tools
Review: Like any survey, it seems to touch the major features only. And, as others have pointed out, the tools change but the book doesn't.
I think this is a good, brief introduction to the wide variety of bioinformatic tools and databases on the internet. It describes the major features of each, and the kinds of results that each tool is good for. After that, the serious user will go to the sources of each tool or database, to learn more about the specifics as of the moment. No book can hope to keep up with the weekly enhancements at the major repositories.
I emphasize that this is for tools users, not tool makers. It addresses the working scientists who already know their subjects and their needs. This skips over the algorithms in favor of higher level descriptions, and skips over many of the biological reasons for the tools described. Better-informed tool users get better answers from the tools, true. At some point, though, the biologists want to skip the theory, skip the introduction to subjects in which they're experts, and get on with their science. I don't think this book was ever meant for people - and I'm one - who want full details of the algorithms.
I agree, the book treats its many subjects in a shallow way. I think that is by intent, since the book's real goal is breadth and its target is a reader who knows the basic science. It's a bit off the center of my interests, but I've found it helpful.
Rating:
Summary: A survey tor tool users
Review: Like any survey, it seems to touch the major features only. And, as others have pointed out, the tools change but the book doesn't. I think this is a good, brief introduction to the wide variety of bioinformatic tools and databases on the internet. It describes the major features of each, and the kinds of results that each tool is good for. After that, the serious user will go to the sources of each tool or database, to learn more about the specifics as of the moment. No book can hope to keep up with the weekly enhancements at the major repositories. I emphasize that this is for tools users, not tool makers. It addresses the working scientists who already know their subjects and their needs. This skips over the algorithms in favor of higher level descriptions, and skips over many of the biological reasons for the tools described. Better-informed tool users get better answers from the tools, true. At some point, though, the biologists want to skip the theory, skip the introduction to subjects in which they're experts, and get on with their science. I don't think this book was ever meant for people - and I'm one - who want full details of the algorithms. I agree, the book treats its many subjects in a shallow way. I think that is by intent, since the book's real goal is breadth and its target is a reader who knows the basic science. It's a bit off the center of my interests, but I've found it helpful.
Rating:
Summary: Somewhat more than an out-of-date catalog of tools
Review: The book is a collection of chapters by different authors addressing software tools for various problems: database search, multiple sequence alignment, gene prediction, protein structure prediction, etc. A big flaw is that all of the authors assume a different level of prior background and have rather different emphases. I'd have to agree with the other reviewer that Chapters 1 & 17, which constitute 10% of the book, are wasted paper. No one in 2001 (when the book was published), let alone 2004, needs Chapter 1's lengthy explanation of what e-mail and web browsers are. And the perl program at the anticlimax of Chapter 17 was ... anticlimactic. The book is to a great extent a catalog of available software tools. With the exception of the chapters on multiple alignment and phylogeny, the emphasis is on not on how the tools work but how to operate them -- to the of saying "at this URL there is a web page where you can either paste in your sequence or upload a file". The idea of invoking a program through a Unix command line is more than once presented as a truly daunting prospect. The authors generally do a good job of emphasizing that the programs are the beginning of analysis and not the end; the results must always be viewed somewhat skeptically with an expert eye. If you're coming at the book as a biologist, you will probably find it to be a useful catalog of software, though undoubtedly dated by now. If you're coming at it from the informatics side, you're going to need some background... a book like Dwyer's, Setubal and Meidanis's, or Mount's will get you up to speed on the algorithm aspects of the field with simplified versions of many of the big problems. Then you can look at this book to find good pointers to the ways the real-world versions have been addressed. The book was published three years ago and, being to a large extent an index of the work of others, is necessarily no longer up to date in a fast-moving field. It needs a revision and, in the meantime, it would make more sense to snag a used copy than to pay full price for a new book.
Rating:
Summary: Poor as an introduction to the field
Review: The purpose of the book appears to be to provide a broad overview of current public bioinformatics tools. If one is interested to find pointers to software that addresses a specific bioinformatics question, the book does a reasonable job of showing what was available at the end of 2000. However, this approach has two major shortcomings. First, the principles and main scientific ideas associated with each covered area are only glossed over. Second, there is a chronic lack of depth in the presentation of any particular method. Because of these two problems the book is useless to the novice and makes a poor choice as a textbook for an introductory bioinformatics course. The best chapter is #14 on phylogenetic analysis, which emphasizes the strategies of data analysis and potential misinterpretations of the results. An embarrassing addition to the second edition is a chapter on Perl, which I doubt will be useful to any type of reader. Another chapter, which would have been better left out is #1, an introduction to the internet. It may have been appropriate for the first edition, but the material is too simplistic for the present.
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