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Biological sequence analysis : probabilistic models of proteins and nucleic acids /
Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
1998.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Biological sequence analysis : |b probabilistic models of proteins and nucleic acids / |c Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison. |
| 264 | 1 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 1998. | |
| 264 | 4 | |c ©1998 | |
| 300 | |a 1 online resource (xi, 356 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a Presents up-to-date computer methods for analysing DNA, RNA and protein sequences. | ||
| 520 | |a 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. | ||
| 504 | |a Includes bibliographical references (pages 326-344) and indexes. | ||
| 505 | 0 | |a 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. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Nucleotide sequence |x Statistical methods. | |
| 650 | 0 | |a Amino acid sequence |x Statistical methods. | |
| 650 | 0 | |a Numerical analysis. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Markov processes. | |
| 650 | 0 | |a Nucleotide sequence |x Data processing. | |
| 650 | 0 | |a Amino acid sequence |x Data processing. | |
| 650 | 0 | |a Amino acid sequence. | |
| 650 | 1 | 2 | |a Base Sequence |
| 650 | 2 | 2 | |a Amino Acid Sequence |
| 650 | 2 | 2 | |a Probability |
| 650 | 2 | 2 | |a Sequence Analysis |x methods |
| 650 | 2 | |a Markov Chains | |
| 650 | 6 | |a Séquence nucléotidique |x Méthodes statistiques. | |
| 650 | 6 | |a Séquence des acides aminés |x Méthodes statistiques. | |
| 650 | 6 | |a Analyse numérique. | |
| 650 | 6 | |a Probabilités. | |
| 650 | 6 | |a Processus de Markov. | |
| 650 | 6 | |a Séquence des acides aminés |x Informatique. | |
| 650 | 6 | |a Séquence des acides aminés. | |
| 650 | 7 | |a probability. |2 aat | |
| 650 | 7 | |a Bioinformatics. |2 agrovoc | |
| 650 | 7 | |a Proteins. |2 agrovoc | |
| 650 | 7 | |a Amino acids. |2 agrovoc | |
| 650 | 7 | |a Nucleic acids. |2 agrovoc | |
| 650 | 7 | |a Nucleotide sequence. |2 agrovoc | |
| 650 | 7 | |a Phylogeny. |2 agrovoc | |
| 650 | 7 | |a Statistical methods. |2 agrovoc | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Genetics & Genomics. |2 bisacsh | |
| 650 | 7 | |a Amino acid sequence |2 fast | |
| 650 | 7 | |a Amino acid sequence |x Data processing |2 fast | |
| 650 | 7 | |a Amino acid sequence |x Statistical methods |2 fast | |
| 650 | 7 | |a Markov processes |2 fast | |
| 650 | 7 | |a Nucleotide sequence |x Data processing |2 fast | |
| 650 | 7 | |a Nucleotide sequence |x Statistical methods |2 fast | |
| 650 | 7 | |a Numerical analysis |2 fast | |
| 650 | 7 | |a Probabilities |2 fast | |
| 650 | 7 | |a Probabilités. |2 ram | |
| 650 | 7 | |a Génétique moléculaire. |2 ram | |
| 650 | 7 | |a Séquençage des acides nucléiques |x Logiciels. |2 ram | |
| 650 | 7 | |a Bioinformatique. |2 ram | |
| 650 | 7 | |a Séquence nucléotidique |x Méthodes statistiques. |2 ram | |
| 650 | 7 | |a Séquençage des acides aminés |x Méthodes statistiques. |2 ram | |
| 650 | 7 | |a Aminosyresekvenser |x Statistiske metoder. |2 tekord | |
| 650 | 7 | |a Nukleotidsekvenser |x Statistiske metoder. |2 tekord | |
| 700 | 1 | |a Durbin, Richard, |e author. | |
| 776 | 0 | 8 | |i Print version: |t Biological sequence analysis. |d Cambridge, UK ; New York : Cambridge University Press, 1998 |z 9780521629713 |w (DLC) 97046769 |w (OCoLC)38073274 |
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