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Biological sequence analysis probabalistic models of proteins and nucleic acids

By: Contributor(s): Material type: TextTextLanguage: English Language Publication details: Cambridge, Angleterre Cambridge University Press 1998Description: xi, 356 p. Illustration 24 cmISBN:
  • 9780521540797
  • 0521540798
Subject(s): Genre/Form: DDC classification:
  • 572.8633 BIO
Summary: 1. Introduction; 2. Pairwise sequence alignment; 3. Multiple alignments; 4. Hidden Markov models; 5. Hidden Markov models applied to biological sequences; 6. The Chomsky hierarchy of formal grammars; 7. RNA and stochastic context-free grammars; 8. Phylogenetic trees; 9. Phylogeny and alignment; Index.
Item type: Lending Books
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Holdings
Item type Current library Collection Call number Status Notes Barcode
Lending Books Lending Books Applied Sciences Library Lending Section Lending Collection 572.8633 BIO (Browse shelf(Opens below)) Available $13.37 112977
Total holds: 0

Probabilistic methods are assuming greater significance in the analysis of nucleotide sequence data. This book provides the first unified, up-to-date and self-contained account of such methods, and more generally of probabilistic methods of sequence analysis, presented in a Bayesian framework.

1. Introduction; 2. Pairwise sequence alignment; 3. Multiple alignments; 4. Hidden Markov models; 5. Hidden Markov models applied to biological sequences; 6. The Chomsky hierarchy of formal grammars; 7. RNA and stochastic context-free grammars; 8. Phylogenetic trees; 9. Phylogeny and alignment; Index.

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