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Biological Sequence Analysis

Probabilistic Models of Proteins and Nucleic Acids

Biological Sequence Analysis by Richard Durbin
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US$ 48.00
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Cambridge University Press; April 1998
368 pages; ISBN 9781107085015
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Title: Biological Sequence Analysis
Author: Richard Durbin; Sean R. Eddy; Anders Krogh; Graeme Mitchison
 
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ISBNs
0511252250
9780511252259
9780511253706
9780521620413
9781107085015