Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids / Edition 1

Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids / Edition 1

by Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison
     
 

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… See more details below

Overview

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.

Product Details

ISBN-13:
9780521629713
Publisher:
Cambridge University Press
Publication date:
05/28/1998
Edition description:
New Edition
Pages:
368
Sales rank:
929,254
Product dimensions:
6.85(w) x 9.72(h) x 0.91(d)

Table of Contents

Preface
1Introduction1
2Pairwise alignment12
3Markov chains and hidden Markov models46
4Pairwise alignment using HMMs80
5Profile HMMs for sequence families100
6Multiple sequence alignment methods134
7Building phylogenetic trees160
8Probabilistic approaches to phylogeny192
9Transformational grammars233
10RNA structure analysis260
11Background on probability299
Bibliography326
Author index345
Subject index350

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