Biological sequence analysis : (Record no. 68303)
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000 -LEADER | |
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fixed length control field | 02244nam a22003738i 4500 |
001 - CONTROL NUMBER | |
control field | CR9780511790492 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220711202545.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 100611s1998||||enk o ||1 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780511790492 (ebook) |
082 00 - CLASSIFICATION NUMBER | |
Call Number | 572.8/633 |
100 1# - AUTHOR NAME | |
Author | Durbin, Richard, |
245 10 - TITLE STATEMENT | |
Title | Biological sequence analysis : |
Sub Title | probabalistic models of proteins and nucleic acids / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (xi, 356 pages) : |
500 ## - GENERAL NOTE | |
Remark 1 | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Statistical methods. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Statistical methods. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1017/CBO9780511790492 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cambridge : |
-- | Cambridge University Press, |
-- | 1998. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Nucleotide sequence |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Amino acid sequence |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Numerical analysis. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Probabilities. |
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