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List Price: £19.99
Our Price: £15.94
Author:
J Howard Parish, Richard M Twyman
By Taylor & Francis
 Simple but not naive, 2004-01-28
The authors of this book keep their promises. Their aim was to provide readers with the basic knowledge of this vast field called Bioinformatics and they should be satisfied; they achieved it. It is really amazing how the authors managed to fill so much information in 270 pages. It may seem easy to read, but in fact a careful reading is required in order to assure that all the information will be receipted. It may not be as "scientific" as some hard-core bioinformaticians may wanted, but after all it is a student-oriented book (mainly for undergraduates). Recommended for those who want to learn quickly and efficiently Bioinformatics. However, for those who want something more, this book is only the beginning...
List Price: £41.95
Our Price: £37.08
Author:
P Baldi
By MIT Press
 Great book, 1999-07-30
The book of P.Baldi and S.Brunak presents a clear and exhaustive review of the main topics concerning Machine Learning techniques, as well as a broad discussion on the most significant problems that have faced Bioinformatics in recent years together with many hints on the future directions for the ML approach in BI. In the book the description of ML tools (Probabilistic Models, ANNs, HMMs, Hybrid Systems, etc.) unified under the Bayesian framework, is always clear and rigorous. Most of the theoretical materials that are unnecessary for an immediate comprehension -but that some readers may require for a deeper foundation of the ML approach- are presented in the rich appendices, a fair choice to keep the text clear. In any case the specific techniques are described in enough detail, so that any smart reader should be able to implement the models presented without further information. The biological aspects are described at a similar level of detail. As a result the book is very useful both for CS researchers interested in Computational Biology and for Biologists who want to acquire a deeper knowledge of the ML algorithmic tools used for biological data processing. It is obvious that ML plays a broad role in Bioinformatics and that sometimes some of its different aspects seem to be so weakly related that it seems a hard task to systematically review the state of the art of this approach. Anyway, the book of P.Baldi and S.Brunak performs the task successfully and actually represents both the first comprehensive book on ML in Bioinformatics and an incredibly rich pointer to all the resources (books, papers, servers and biological databases on the web) concerning this very promising discipline.
List Price: £54.00
Our Price: £51.30
By Springer
List Price: £35.99
Our Price: £14.49
By Taylor & Francis
One of the best books on the subject, 2007-05-16
I teach bioinformatics, and have a special interest in protein structure. In most texts, the two things barely overlap. In this book, proteins, and especially their structures, take centre stage, in contrast to the 'protein sequence as a data string' view of the world so often taken. This is hardly a surprise, given the authors, but it is a viewpoint I whole-heartedly endorse. Putting the approach to the subject aside, the book is excellent in its own right. Concise, lucid coverage, unified by a set of excellent diagrams and illustrations. Criticisms would be lack of colour throughout, the relatively small format and the lack of web support, but these are minor quibbles.
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