Bioinformatics: Sequence and Genome Analysis
Bioinformatics: Sequence and Genome Analysis Books
Product Description
The application of computational methods to DNA and protein science is the newest and most exciting new development in biology. “Bioinformatics: Sequence and Genome Analysis” is a comprehensive functional and theoretical introduction to this new discipline. Sequence alignment, structure prediction, phylogenetic and gene prediction, database searching, and genome analysis are amply clarified and illustrated. Descriptions, instructions, and web references are provided for a broad range of publicly available software. Links to online resources, problems for classroom use, and additional material not included in the text are available on the book’s own website, that will be updated as the field moves on.
Based on the author’s extensive teaching experience at the University of Arizona, this is a uniquely educational book, ideal for investigators, graduate students, and biology undergraduates studying this new, quick-changing discipline, and also for computer programmers and in rank specialists working in molecular biology and pharmaceutical laboratories.
Buy Cheap Bioinformatics: Sequence and Genome Analysis Online
Related posts:
- Bioinformatics: Sequence, Structure and Databanks: A Practical Approach
- Computational Text Analysis: For Functional Genomics and Bioinformatics
- Bioinformatics Biocomputing and Perl: An Introduction to Bioinformatics Computing Skills and Practice
- Fatal Sequence: The Killer Within
- The Global Genome: Biotechnology, Politics, and Culture

This book is apposite for those who have never explored bioinformatics and it is quite confused. Hence, lecturers need to be able to organize this book for students in a proper way. It doesn’t clarify algorithms in depth and so if you are algorithmic, get another book. I reckon this book is too pricey.
Rating: 3 / 5
David W. Mount is a terrible novelist. I can’t judge how much of a chore this book is to read. His sentences, in my attitude, 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 in rank and made it available in a single location and that is no mean feat. At the very least, it is a valuable starting top to find both helpful references to better explanations and software apt to nearly 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 know 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 yucky 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 urge taking a look at this book, but be ready to access the brilliant list of references if you want a more insightful understanding of many of the methods described throughout.
Rating: 2 / 5
Dr. Mount provides an brilliant 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 cold edge alogrithms in the field. He covers all the major areas of bioinformatics (from a biologist’s top of view) with the exception of microarray data analysis (which I judge was just appearance out at the time the book was printed).
I cannot urge this text more to anyone who is appearance into the field. It is especially helpful for senior undergraduates or early graduate students. And don’t let the price-tag scare you off… CSHL Press books are everlastingly pricey, but they are ordinarily worth every nickle.
Rating: 5 / 5
David Mount did an brilliant job introducing bioinformatics to biologists. Without a lot of Mathematics he clarifies the algorithms used for sequence alignments or phylogenetics, much better than any other book I have seen. Particularly, I found the chapter about Phylogenetic Prediction very helpful, that shows advantages and disadvantages of the numerous phylogenetic analysis programs with a lot of examples and helps the molecular biologist to choose which one to use. Although this book is silent pricey, I reckon it is worth every penny!
Rating: 5 / 5