MARC details
000 -LEADER |
fixed length control field |
03589nam a22004335i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231104114240.0 |
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 |
150413s2015 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781447166931 |
Canceled/invalid ISBN |
978-1-4471-6693-1 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4471-6693-1 |
Source of number or code |
doi |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
TR-AnTOB |
Language of cataloging |
eng |
Transcribing agency |
TR-AnTOB |
Description conventions |
rda |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QH324.2-324.25 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
PSA |
Source |
bicssc |
|
Subject category code |
COM014000 |
Source |
bisacsh |
|
Subject category code |
PSA |
Source |
thema |
|
Subject category code |
UB |
Source |
thema570.285 |
-- |
23 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
İngilizce |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Axelson-Fisk, Marina. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Comparative Gene Finding : |
Remainder of title |
Models, Algorithms and Implementation / |
Statement of responsibility, etc. |
by Marina Axelson-Fisk. |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. 2015. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
London : |
Name of producer, publisher, distributor, manufacturer |
Springer London : |
-- |
Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2015. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
490 0# - SERIES STATEMENT |
Series statement |
Computational Biology, |
International Standard Serial Number |
1568-2684 ; |
Volume/sequential designation |
20 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction -- Single Species Gene Finding -- Sequence Alignment -- Comparative Gene Finding -- Gene Structure Submodels -- Parameter Training -- Implementation of a Comparative Gene Finder -- Annotation Pipelines for Next Generation Sequencing Projects. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This unique text/reference presents a concise guide to building computational gene finders, and describes the state of the art in computational gene finding methods, with a particular focus on comparative approaches. Fully updated and expanded, this new edition examines next-generation sequencing (NGS) technology, including annotation pipelines for NGS data. The book also discusses conditional random fields, enhancing the broad coverage of topics spanning probability theory, statistics, information theory, optimization theory, and numerical analysis. Topics and features: Introduces the fundamental terms and concepts in the field, and provides an historical overview of algorithm development Discusses algorithms for single-species gene finding, and approaches to pairwise and multiple sequence alignments, then describes how the strengths in both areas can be combined to improve the accuracy of gene finding Explores the gene features most commonly captured by a computational gene model, and explains the basics of parameter training Illustrates how to implement a comparative gene finder, reviewing the different steps and accuracy assessment measures used to debug and benchmark the software Examines NGS techniques, and how to build a genome annotation pipeline, discussing sequence assembly, de novo repeat masking, and gene prediction (NEW) Postgraduate students, and researchers wishing to enter the field quickly, will find this accessible text a valuable source of insights and examples. A suggested course outline for instructors is provided in the preface. 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 entry element |
Bioinformatics. |
|
Topical term or geographic name entry element |
Computational Biology/Bioinformatics. |
Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I23050 |
|
Topical term or geographic name entry element |
Bioinformatics. |
Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/L15001 |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Springer eBooks |
Public note |
Online access link to the resource |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-1-4471-6693-1">https://doi.org/10.1007/978-1-4471-6693-1</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
E-Book |