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Bioinformatics: Sequence and Genome Analysis Paperback – August 16, 2004

ISBN-13: 978-0879697129 ISBN-10: 0879697121 Edition: 2nd

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Product Details

  • Paperback: 692 pages
  • Publisher: Cold Spring Harbor Laboratory Press; 2nd edition (August 16, 2004)
  • Language: English
  • ISBN-10: 0879697121
  • ISBN-13: 978-0879697129
  • Product Dimensions: 11 x 1.2 x 8.3 inches
  • Shipping Weight: 4.2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (23 customer reviews)
  • Amazon Best Sellers Rank: #350,001 in Books (See Top 100 in Books)

Editorial Reviews

Review


This second edition is a qualified success. Every chapter in the second edition appears to be rewritten extensively, and three useful new chapters have been added. As a result, the new edition tops out at 692 pages, and many of the problems with the first edition have been rectified...

Overall, this second edition is a considerable improvement over the first and will be popular on the desks of many scientists as well as many students....If you find that you need a reference that covers the entire breadth of bioinformatics, you need to buy this book.
- DDLClinical Chemistry


The second edition of Bioinformatics: Sequence and Genome Analysis is an excellent textbook for bioinformatics introductory courses for both life sciences and computer science students, and a good reference for current problems in the field and the tools and methods employed in their solution.
- Briefings in Bioinformatics



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Customer Reviews

The writing also seems unnecessarily wordy and opaque.
Steve Chien
Instead he repeatedly attempts to cram too many ideas into too few paragraphs making the book a slow slog.
B. Peterson
This is a good book if you are not an expert in Bioinformatics but you have in mind to be one.
C. Martn

Most Helpful Customer Reviews

36 of 37 people found the following review helpful By Dr. Lee D. Carlson HALL OF FAMEVINE VOICE on July 9, 2002
Format: Paperback
The field of bioinformatics has exploded in the last five years, and several monographs and textbooks have appeared to assist in the elucidation of the concepts involved. Bioinformatics is a field that grew hand-in-hand with the rise of the Internet, and anyone going into it will need expertise in the PERL and JAVA programming languages, as well as a fairly strong mathematical background. In this book, the author gives a very good overview of bioinformatics from mostly a qualitative and descriptive point of view, although some elementary mathematical discussions are inserted in various places. Because of the level of mathematics used, this might not be the book to use for the mathematician who desires to go into bioinformatics or computational biology. On the other hand, for the student of biology or mathematics who intends to pursue bioinformatics as a profession, this book would be an excellent choice. One cannot read the book however without visiting its accompanying Website, for the author extends some of the results of the book there.
The book begins with an historical introduction to the subject, and a newcomer to the subject will get a brief overview of some of the first sequence analysis programs and some of the first DNA sequence databases developed long before bioinformatics was recognized as a real discipline. The author introduces some of the techniques that will be discussed in the book, such as global and local sequence alignment, dynamic programming, RNA structure prediction, and protein structure prediction. This is followed in chapter 2 by an overview of the procedures used to collect and store sequences in the laboratory. To the reader not familiar with these techniques, the discussion may be too brief.
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23 of 25 people found the following review helpful By B. Peterson on March 2, 2002
Format: Paperback
This book has been heavily hyped but the publisher should have put more work into the editing. There is much information here -- a comprehensive set of URL's make the book worthwhile. However I found the book difficult to read -- after analyzing why I realized the author didn't believe in the one concept per paragraph style of writing. Instead he repeatedly attempts to cram too many ideas into too few paragraphs making the book a slow slog.
Bioinformatics is hot now and there is a rush to publish -- this book could have used another few months of polishing before going to press.
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17 of 18 people found the following review helpful By A Customer on April 25, 2002
Format: Paperback
I am an undergraduate Biotechnology student who is using this book for an intro Bioinformatics class at the Junior/Senior level. It describes the field from a biologists perspective, and doesn't include too much math. It describes the steps that an algorithm within the program would use, and the logic behind them, without going into the complexities of the coding.
While this is a book by and for Biologists, I have found the book to be very rough and in need of extensive editing. On the first test the professor was disappointed as only 1-2 people made it into the A range. At the time I wondered if it was related to the difficulty of the text. To my surprise, my professor began to give us 10 to 20 page handouts per class, covering the material in his lectures. Although he never directly stated this, the handouts were apparently there to make up for the weakness of the text.
It definitely has potential to be a good text for biologists. If the author and editor put in significant work, this could really become a very good book. However I really can't recommend the current edition.
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11 of 12 people found the following review helpful By C. Martn on September 1, 2005
Format: Paperback
I don't understand such a lot of bad comments about this book. In this book concepts are presented in an intelligent way, because the book is as quantitative as the biologist's requirements are. Everithing is sufficient to comprehend which are the things' mathematical basis but avoiding time-comsuming and ready-to-forget extra info. Other books are only for matematicians because they are sometimes full of numbers and complicated equations, while other ones are so simple that I imagine them usefull only for non-biologists (matematicians again above all).

This is a book that is usefull as an introduction for the initial graduate level bioinformatician (biologist) and as a short description of the techniques that we use to matematicians aimed to collaborate.

Finally I am not in agreement with some coments about what is Bioinformatics. Most of them carried out by some non-biologists here. Bioinformatics is Biology. Of course we use mathematics, but as far as we USE them, bioinformatics is not mathematics. We do not develope Mathematics, but Biology state of the art. Bioinspired algorithms, in the other hand, are pure mathematical concepts, even if they are insipred in biology. Let Bioinformatics be what it is, a quantitative and statistical part of pure Biology.

This is a good book if you are not an expert in Bioinformatics but you have in mind to be one. Study this book entirely as your first one and go directly to the difficult ones. For me, it is the shorter reading path to bioinformatics expertise nowadays.
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11 of 12 people found the following review helpful By A Customer on August 31, 2001
Format: Paperback
If you are a biologist and just want to know some background information of how to apply bioinformatics to your research, do not read this book. My recommendation for you is "developing bioinformatics computer skills" and some other books like that.
If you are a student or scientist who study bioinformatics, this book is an excellent book and really worthy to read. This books gives very detailed information on algorithm to help us understand how the software such as BLAST and FASTA are designed. The illustrations are easy to understand compared with other books I have read, especially for the statistics part of any algorithm.
One weak point is that the book focus on nucleic acid sequence analysis while talk little about protein.
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