Biological sequence analysis : (Record no. 68303)

000 -LEADER
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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