Hidden Markov Models for Bioinformatics (Record no. 293709)

MARC details
000 -LEADER
fixed length control field 01176nam a2200145Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150831s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1402001363
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 572.8/633 KOS-H
245 ## - TITLE STATEMENT
Title Hidden Markov Models for Bioinformatics
250 ## - EDITION STATEMENT
Edition statement 1
300 ## - PHYSICAL DESCRIPTION
Extent 416
520 ## - SUMMARY, ETC.
Summary, etc. The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Nucleotide sequence -Mathematical models. Nucleotide sequence -Statistical methods. Markov processes.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics Processing Center 01/09/2015   572.8/633 KOS-H DCB293 01/09/2015 01/09/2015 Book