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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 |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
1998.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (xi, 356 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 326-344) and indexes. |
| ISBN: | 9780511648717 0511648715 9780511337086 0511337086 9780511790492 051179049X 9780511336430 0511336438 |