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'This book fills an important gap in the bioinformatics literature and should be required reading for anyone who is interested in doing serious work in biological sequence analysis. For biologists who have little formal training in statistics or probability, it is a long-awaited contribution that, short of consulting a professional statistician who is well versed in molecular biology, is the best source of statistical information that is relevant to sequence-alignment problems. This book seems destined to become a classic. I highly recommend it.' Andrew F. Neuwald, Trends in Biochemical Sciences
'This book is a nice tutorial and introduction to the field and can certainly be recommended to all who wish to analyse biological sequences with computer methods. It can also serve as a basis for a university course for undergraduates.' Trends in Cell Biology
' … an enjoyable opportunity to see a blend of modeling and data analysis at work on an important class of problems in the rapidly growing field of computational biology.' D. Siegmund, Short Book Reviews
'This book is a nice tutorial and introduction to the field and can certainly be recommended to all who wish to analyse biological sequences with computer methods. It can also serve as a basis for a university course for undergraduates.' Trends in Cell Biology
' … an enjoyable opportunity to see a blend of modeling and data analysis at work on an important class of problems in the rapidly growing field of computational biology.' D. Siegmund, Short Book Reviews
Über das Produkt
Probabilistic methods are assuming greater significance in the analysis of nucleotide sequence data. This book provides the first unified, up-to-date and self-contained account of such methods, and more generally of probabilistic methods of sequence analysis, presented in a Bayesian framework.
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3 von 3 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
This was my first book on probabilistic models of biological sequences and I would like to reccomend it for the excellent balance between introductory and indepth material. The probabilistic models are clearly explained and each section finishes with an excellent Further reading section.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
This is that rarest of rare: an intro-level, multi-authored monograph which is thorough, internally consistent, and a joy to read. Unlike the reviewer above, although not the first book I read on the subject, had it been so, I could have saved myself a great deal of time. As an introductory work it is simply unparalleled. In view of the rate of information growth in the field, this reader thinks it deserves to be amended annually, not merely reprinted periodically. The authors and editors are to be congratulated for producing a real gem. Your choice of which of the 30 or so "advanced" (i.e., costing >$60) books on probabilistic sequence analysis will be much more informed if you read this one first.
0 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
The book was actually disappointing for me because I would have had expected to see more practical usage (for instance: examples of those methods used by scientists in the USA.)
Also, it is not possible to work through it without having a pencil and a paper with you, unless you are a half-genius or very good mathematician.
NEVERTHELESS, the three stars are well deserved because it IS an excellent book to quickly view through the analysis methods used in biology, even although it might be a bit difficult to read.
So i can recommend this book in case you are either very interested, or will possibly need it in your studies.
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