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Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

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

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Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids

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.

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ISBN

9780521629713

Published
April 23rd 1998 by Cambridge University Press
Category
Dna
Number of pages
368
County of origin
UNITED KINGDOM
Dimensions
248 x 175

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