Comparative Gene Finding (Record no. 110968)

000 -LEADER
fixed length control field 04030nam a22004575i 4500
001 - CONTROL NUMBER
control field 978-1-84996-104-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220084515.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100715s2010 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781849961042
-- 978-1-84996-104-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-84996-104-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH324.2-324.25
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSA
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code UB
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM014000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570.285
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Axelson-Fisk, Marina.
Relator term author.
245 10 - TITLE STATEMENT
Title Comparative Gene Finding
Medium [electronic resource] :
Remainder of title Models, Algorithms and Implementation /
Statement of responsibility, etc by Marina Axelson-Fisk.
264 #1 -
-- London :
-- Springer London,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent XV, 304 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Computational Biology,
International Standard Serial Number 1568-2684 ;
Volume number/sequential designation 11
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Single Species Gene Finding -- Sequence Alignment -- Comparative Gene Finding -- Gene Structure Submodels -- Parameter Training -- Implementation of a Comparative Gene Finder.
520 ## - SUMMARY, ETC.
Summary, etc Comparative genomics is an emerging field, which is being fed by an explosion in the number of possible biological sequences. This has led to an immense demand for faster, more efficient and more robust computer algorithms to analyze this large amount of data. This unique text/reference describes the state of the art in computational gene finding, with a particular focus on comparative approaches. Providing both an overview of the various methods that are applied in the field, and a concise guide on how computational gene finders are built, the book covers a broad range of topics from probability theory, statistics, information theory, optimization theory and numerical analysis. The text assumes the reader has some background in bioinformatics, especially in mathematics and mathematical statistics. A basic knowledge of analysis, probability theory and random processes would also aid the reader. Topics and features: Describes how algorithms and sequence alignments can be combined to improve the accuracy of gene finding Introduces the basic biological terms and concepts in genetics, and provides an historical overview of algorithm development Explores the gene features most commonly captured by a computational gene model, and describes the most important sub-models used Discusses the algorithms most commonly used for single-species gene finding Investigates approaches to pairwise and multiple sequence alignments Explains the basics of parameter training, covering a number of the different parameter estimation and optimization techniques commonly used in gene finding Illustrates how to implement a comparative gene finder, explaining the different steps and various accuracy assessment measures used to debug and benchmark the software A useful text for postgraduate students, this book provides valuable insights and examples for researchers wishing to enter the field quickly. In addition to the specific focus on the algorithmic details surrounding computational gene finding, readers obtain an introduction to the fundamentals of computational biology and biological sequence analysis, as well as an overview of the important mathematical and statistical applications in bioinformatics. Dr. Marina Axelson-Fisk is an Associate Professor at the Department of Mathematical Sciences of Chalmers University of Technology, Gothenburg, Sweden.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Biology/Bioinformatics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781849961035
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Computational Biology,
-- 1568-2684 ;
Volume number/sequential designation 11
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-84996-104-2
912 ## -
-- ZDB-2-SCS

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