Mandatory that this is on every computational biologist/bioinformatics scientist bookshelf!
The package specifically uses hidden Markov models to perform sequence analysis using the methods outlined in the book.
The illustrations provided are extremely helpful, including their positioning on pages where they're relevant.
Mandatory that this is on every computational biologist/bioinformatics scientist bookshelf! Sequence analysis is the foundation of bionformatics/computational biology and this book... Read morePublished 8 months ago by Mgavi Brathwaite
if you are a CS, this book will give you a hard time at the beginning. If you are a biologist probably not. Read morePublished 13 months ago by juan felipe marulanda arias
This is an old book now, and I don't know if its been supplanted, but when published it was by far the best book in its field. I think it still has much to offer. Read morePublished 14 months ago by Ridahoan
purchased as a gift. although this was a duplicate gift, ret'd book with no problem and credited to my acct.Published 19 months ago by Susanne R. Donahue
very useful book for sequence analysis. i use it as part of my bioinformatics reference in stanford. professor's recommendation!Published on April 16, 2009 by Beam
This book is a must have for any bioinformatics student working with sequence or genomic data. Useful for anyone attempting to gain an understanding of stochastic models, hidden... Read morePublished on March 2, 2009 by whyzit
While this is perhaps the best book on Hidden Markov Models in Bioinformatics available, you would do well to read Rabiner's review paper. Read morePublished on April 21, 2008 by Andrew Dalby
This book gives an excellent introduction into sequence analysis for a person who is already somewhat familiar with the basics of Bayesian techniques. Read morePublished on December 31, 2007 by kprema
A great reference and a good introduction to many important concepts in sequence analysis. However, if you don't have a reasonable grounding in math you may struggle with the terse... Read morePublished on September 5, 2007 by Mark Schreiber