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An Introduction to Bioinformatics Algorithms (Computational Molecular Biology) 1st Edition

4.7 out of 5 stars 19 customer reviews
ISBN-13: 978-0262101066
ISBN-10: 0262101068
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Editorial Reviews

About the Author

Neil C. Jones is a Ph.D. candidate in the Department of Computer Science and Engineering at the University of California, San Diego.

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Product Details

  • Series: Computational Molecular Biology
  • Hardcover: 456 pages
  • Publisher: The MIT Press; 1 edition (August 6, 2004)
  • Language: English
  • ISBN-10: 0262101068
  • ISBN-13: 978-0262101066
  • Product Dimensions: 7 x 0.8 x 9 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (19 customer reviews)
  • Amazon Best Sellers Rank: #502,705 in Books (See Top 100 in Books)

Customer Reviews

Top Customer Reviews

By Yoshiro Aoki on September 24, 2005
Format: Hardcover
This is the first book that I've read regarding bioinformatics, so Im updating this as my class moves along. You better have a grasp of basic data structures prior to beginning this book and background with a programming language as there is very little hand-holding in this text. A bio background makes it all more interesting but certainly is not critical. There are no sample code or sources printed with the book nor is there an included CD nor answers to exercises. There is an associated web site where some ideas may be had and errata found/reported, but its not very active that I have seen. The pseudo code in the book is very python-like so easy to make use of. I personally transfer the book's concepts to C/C++ (habit) without much problem, except sometimes my results differ from the book. Apparently these are book bugs, so be sure to check the web site out if unexpected things pop up.
Presently my class is in chapter 8 (of 12) and looking back I would like to caution that some data processing algorithms will drive a computer's CPU quite hard so be aware of battery-munching & heat. My only bones with this book so far are the alphabet soup of variables and lack of answers to exercises. It would be nice if variable definitions were refreshed at the beginning of pseudo code samples.
I like this book as an algorithms text over traditional texts because the applications are much more fascinating. Imagine searching for something and you don't know where that something is. On top of that add not even knowing exactly what it is you are looking for. And when you do find it, its not even in the data searched! This may sound unlikely or even impossible, but it is neither. Rather, its very cool.
4-stars
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Format: Hardcover Verified Purchase
This book gives a broad overview of algorithmic methods used in bioinformatics. It is well writen and the mathematics needed to understand is undergraduate level. Reading this book makes appetite to apply these methods to problems or to dig deeper in the corresponding method.

Overall, a very good book, and due to its introductory level, one can recommend to all people interested in bioinformatics from all disciplines.
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Format: Hardcover Verified Purchase
This book does exactly what it set out to do - provide an introduction to bioinformatics. It provides not only simple explanations for some of the common algorithms, but in some cases more deeper mathematics behind the algorithm. The illustrations work for what they are trying to portray, the chapters are organized well taking the reader from the basics of molecular biology and dynamic programming to some more of the advanced concepts such as in hidden markov model. I also enjoyed the sections talking about some of the influential scientists in bioinformatics.

All in all a great introductory book.
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Format: Hardcover Verified Purchase
Great book which is perfect for the students, whose major is either mathematics or computer science. Nice biology intro in the beginning and in the section 8: "Graph Algorithms".

Accurate approach for all the algorithms and theorems, as well as their proofs, keeps an interested reader focused during the whole time of reading. I must admit that all that mathematical parts contain nice off-topics, which help to understand the applications of the described methods and technics. The fact that the book was written by several different authors plays it's strengths. Each author is a pro in the described area, so he or she describes the basics in the both most easy and understandable ways.

Special paragraph has to be written for the special sections after each chapter in the book: Exercises! The best way to learn and understand something is to program it, use it, or analyse it. All of the described above can be found in those exercise sections. Difficulty of the tasks out there vary from easy to extremely difficult ones. The number of tasks that are required to be solved for the best understanding is very individual.

All in all this is one of the books the must be on "must have" list of every student who wants to become a scientist in a bioinformatics field.
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Format: Hardcover
Bioinformatics is probably the fastest growing field in both biology and computer science. The problems have come from the computer science department and the biology department having such fundamentally different goals. The computer scientists see the computer as an end in itself with no real thought on trying to do something useful with it. The biologists see the computer as just another tool in their laboratory. And the biological problems are huge, massive computers like the new Cray's and large Linux clusters are being devoted to biological applications.

This book is intended to fit into the chasm between biology and computer science. It discusses computer the algorithmic principles in terms of practical techniques that make sense to the undergraduate biologist. The book is well suited for a first class for the budding bioinformaticist.

Each main chapter in the book first introduces an algorithm, then it discusses the biologically relevant problems that this algorithm addresses, it includes a detailed problem and one or more solutions. Finally the chapter concludes with brief biographical sketches of leading figures in the field.

This is the first book of its type, and it's likely to remain a classic in the field through many editions and many years.
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