Bioinformatics: Sequence and Genome Analysis, Second Edition
February 21, 2010 by Bioinformatics Computational Biology
Product Description
As more speciesÂ’ genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.
Related Titles from the Publisher
Discovering Genomics, Proteomics, and Bioinformatics
Emerging Model Organisms
Genomes
Proteins and Proteomics: A Laboratory Manual
A Short Guide to the Human Genome
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This is really the best bioinformatics book I have encountered. My bias is that it seems that most of these books are written by computer scientists for computer scientists. This book is written by a biologist for biologists, and focuses on solving biological problems from the point of view of which tools are good for which jobs. This is an excellent introduction into all sorts of tools that you may want to use, from simple BLAST searches to more complex types of evolutionary trees and the like. As a biologist, I have found this book to be a lot of help, and I wish that I had encountered this book a few years ago. Computer scientists may want more mathematical details, and should look to other books. But as a guide for a biologist, this book can’t be beat (and I’ve looked through a dozen or more other bioinformatics books). As you can see, I can’t say enough about this book. If you’re a biologist, get this book, and you’ll see.
Rating: 5 / 5
This book is suitable for those who have never explored bioinformatics and it is quite disorganized. Hence, lecturers need to be able to organize this book for students in a proper way. It doesn’t explain algorithms in depth and so if you are algorithmic, get another book. I think this book is too expensive.
Rating: 3 / 5
David W. Mount is a terrible writer. I can’t believe how much of a chore this book is to read. His sentences, in my opinion, are ambiguous and I find myself backtracking unnecessarily.
Rating: 1 / 5
I used this book to teach a bioinformatics course in a foreign language because it was only one of two available in both english and chinese. I’m not sure it wouldn’t have been less confusing to simply use a english textbook and let the students translate the text for themselves. To give the author credit, he has compiled an enormous quantity of information and made it available in a single location and that is no mean feat. At the very least, it is a valuable starting point to find both useful references to better explanations and software appropriate to almost any analysis you might want to do. On the downside, the prose is a tangled mess and is beyond comprehension in places. there are points where, even though i understand the underlying theories used throughout the book, i still couldn’t figure out some of the examples used to illustrate particular methods. For example, there are some figures which have captions which run for a page and a half. Finally, in the majority of cases, the figures are taken directly from key papers on each topic, and associated explanations consist of sentences copied verbatim from the text. I may be doing the author a gross injustice here, but in many of the explanations, i was left with the same impression i get when reading students papers when they have copied something out of a textbook, without really understanding what is going on. Having said all of the above, i would still recommend taking a look at this book, but be ready to access the excellent list of references if you want a more insightful understanding of many of the methods described throughout.
Rating: 2 / 5
Dr. Mount provides an excellent text/guide for those who are interested in making the steep climb into the field of bioinformatics. As a bioinformatics graduate student with an undergraduate degree in biology, I often find that I am over my head in the mathematical jargon that is used in bioinformatics literature. Mount’s book gave me the step-up I needed in order to digest the more technically cutting edge alogrithms in the field. He covers all the major areas of bioinformatics (from a biologist’s point of view) with the exception of microarray data analysis (which I believe was just coming out at the time the book was printed).
I cannot recommend this text more to anyone who is coming into the field. It is especially useful for senior undergraduates or early graduate students. And don’t let the price-tag scare you off… CSHL Press books are always expensive, but they are usually worth every nickle.
Rating: 5 / 5