Biological sequence analysis : probabilistic models of proteins and nucleic acids /

Biological sequence analysis : probabilistic models of proteins and nucleic acids /

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Bibliographic Details
Imprint:Cambridge, UK ; New York : Cambridge University Press, 1998.
©1998
Description:1 online resource (xi, 356 pages) : illustrations
Language:English
Subject:
Nucleotide sequence -- Statistical methods.
Amino acid sequence -- Statistical methods.
Numerical analysis.
Probabilities.
Markov processes.
Nucleotide sequence -- Data processing.
Amino acid sequence -- Data processing.
Base Sequence.
Amino Acid Sequence.
Probability.
Sequence Analysis -- methods.
Amino acid sequence -- Data processing.
Amino acid sequence -- Statistical methods.
Markov processes.
Nucleotide sequence -- Data processing.
Nucleotide sequence -- Statistical methods.
Numerical analysis.
Probabilities.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11206263
Hidden Bibliographic Details
Other authors / contributors:Durbin, Richard, author.
ISBN:9780511648717
0511648715
9780511337086
0511337086
9780511790492
051179049X
9780511336430
0511336438
9780521629713
0521620414
9780521620413
0521629713
Notes:Includes bibliographical references (pages 326-344) and indexes.
Print version record.
Summary:Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.
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.
Other form:Print version: Biological sequence analysis. Cambridge, UK ; New York : Cambridge University Press, 1998 9780521629713

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