general

"...an intriguing work targeted toward biologists wanting to solve problems...provides a compendium of many biological insights and breakthroughs and will be a useful resource...highly recommended." (Choice, Vol. 41, No. 7, March 2004)

Unlike the previous review, I found the user perspective, rather than the mathematical perspective refreshing. I have been teaching bioinformatics to CS students for several years and all too often the students are great at algorithms and theory but do not understand the user they are designing for. This book teaches just that -- how to use bioinformatics from a user or researcher's viewpoint. Medical students and biologists will find it useful for direct applicability to their work, but I also reccomend it for bioinformatics students who need to complement their theoretical background with practical use. All too often, CS students of bioinformatics can design a great database with powerful access tools, but with a horrible interface because they don't have this perspective.

Now, for the book itself. It is easy to read and covers all aspects of bioinformatics from a sequence perspective (information retrieval, BLAST, gene expression and microarrays, proteomics and protein bioinformatics, genomes and disease). The coverage of databases and URLs is thourough and the text is easy to read, yet useful. The book is comprehensive with one area seemingly missing -- it would have been useful to include a chapter on systems biology and/or cellular modeling and the tools available (i.e. E-Cell). The book is especially useful to a researcher who is trying to explore all aspects of a particular gene, protein, disease, or pathway using bioinformatics tools.

The book is in stark contrast to the other Pevser (that is Pevzner) who wrote a bioinformatics book that surveyed algorithm theory underlying bioinformatics.

This book is also useful for less technical professionals in industry -- the managers, lawyers and venture capitalists that pervade the biotech landscape all need to communicate effectively and they can surely learn that here, provided they have some background in cell biology first.

A genious attempt to present bioinformatics as if it is a discipline without any computational content. Perfect for students who lost any hope to understand what is the engine driving bioinformatics tools but want simply to memorize how to use them instead. Must be a very comfortable reading for biologists but is as exciting as a long carefully designed restaurant menu for a mathematician. If the author wants to raise a new generation of biologists with this book then biology and *real* bioinformatics will be divorced forever.