Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids ANNOTATION
Incl. pairwise alignment; hidden Markov models; multiple alignment; profile searches; phylogenetic inference etc.
FROM THE PUBLISHER
This book provides the first unified, up-to-date, and tutorial-level overview of sequence analysis methods, with particular emphasis on probabilistic modelling. Pairwise alignment, hidden Markov models, multiple alignment, profile searches, RNA secondary structure analysis, and phylogenetic inference are treated at length. Written by an interdisciplinary team of authors, the book is accessible to molecular biologists, computer scientists and mathematicians with no formal knowledge of each others' fields. It presents the state-of-the-art in this important, new and rapidly developing discipline.
FROM THE CRITICS
University Press Cambridge
The book is amply illustrated with biological applications and examples."
--Cell
"...successfully integrates numerous probabilistic models with computational algorithms to solve molecular biology problems of sequence alignment...an excellent textbook selection for a course on bioinformatics and a very useful consultation book for a mathematician, statistician, or biometrician working in sequence alignment."
--Bulletin of Mathematical Biology
"This is one of the more rewarding books I have read within this fieldoMy overall evaluation is that this book is very good and a must read for active participants in the field. In addition, it could be particularly useful for molecular biologists"
--Theoretical Population Biology
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