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" Biological sequence analysis : "


Document Type : BL
Record Number : 982819
Doc. No : b737189
Title & Author : Biological sequence analysis : : probabilistic models of proteins and nucleic acids /\ Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison.
Publication Statement : Cambridge, UK ;New York :: Cambridge University Press,, 1998.
: , ©1998
Page. NO : 1 online resource (xi, 356 pages) :: illustrations
ISBN : 0511336438
: : 0511337086
: : 0511648715
: : 051179049X
: : 9780511336430
: : 9780511337086
: : 9780511648717
: : 9780511790492
: 0521620414
: 0521629713
: 9780521620413
: 9780521629713
Bibliographies/Indexes : Includes bibliographical references (pages 326-344) and indexes.
Contents : Introduction -- Pairwise alignment -- Markov chains and hidden Markov models -- Pairwise alignment using HMMs -- Profile HMMs for sequence families -- Multiple sequence alignment methods -- Building phylogenetic trees -- Probabilistic approaches to phylogeny -- Transformational grammars -- RNA structure analysis -- Background on probability.
Abstract : 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.
Subject : Amino acid sequence-- Data processing.
Subject : Amino acid sequence-- Statistical methods.
Subject : Markov processes.
Subject : Nucleotide sequence-- Data processing.
Subject : Nucleotide sequence-- Statistical methods.
Subject : Numerical analysis.
Subject : Probabilities.
Subject : Analyse numérique.
Subject : Probabilités.
Subject : Séquence des acides aminés-- Méthodes statistiques.
Subject : Séquence nucléotidique-- Méthodes statistiques.
Subject : Amino acid sequence-- Data processing.
Subject : Amino acid sequence-- Statistical methods.
Subject : Amino acids.
Subject : Aminosyresekvenser-- Statistiske metoder.
Subject : Bioinformatics.
Subject : Bioinformatique.
Subject : Génétique moléculaire.
Subject : Markov processes.
Subject : Nucleic acids.
Subject : Nucleotide sequence-- Data processing.
Subject : Nucleotide sequence-- Statistical methods.
Subject : Nucleotide sequence.
Subject : Nukleotidsekvenser-- Statistiske metoder.
Subject : Numerical analysis.
Subject : Phylogeny.
Subject : Probabilités.
Subject : Probabilities.
Subject : Proteins.
Subject : SCIENCE-- Life Sciences-- Genetics Genomics.
Subject : Séquençage des acides aminés-- Méthodes statistiques.
Subject : Séquençage des acides nucléiques-- Logiciels.
Subject : Séquence nucléotidique-- Méthodes statistiques.
Subject : Statistical methods.
Subject : Base Sequence.
Subject : Amino Acid Sequence.
Subject : Probability.
Subject : Sequence Analysis-- methods.
Dewey Classification : ‭572.8/633‬
LC Classification : ‭QP620‬‭.B576 1998eb‬
NLM classification : ‭1998 I-162‬
: ‭QU 58‬‭B61533 1998‬
: ‭*92C40‬msc
: ‭35.75‬bcl
: ‭35.76‬bcl
: ‭42.11‬bcl
: ‭60.90‬msc
: ‭92-01‬msc
: ‭92-02‬msc
: ‭92-08‬msc
: ‭Fh:42‬utk
: ‭Fh:51‬utk
: ‭Fh:52‬utk
: ‭Fh:69‬utk
: ‭J.3.1‬acmccs
Added Entry : Durbin, Richard
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