Statistical Population Genomics (Record no. 51683)

MARC details
000 -LEADER
fixed length control field 02344naaaa2200325uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/29509
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220219234403.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-0716-0199-0
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-0716-0199-0
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSAK
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSD
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dutheil, Julien Y.
Relationship edt
245 10 - TITLE STATEMENT
Title Statistical Population Genomics
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Springer Nature
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (468 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0
Source of term cc
-- https://creativecommons.org/licenses/by/4.0
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Genetics (non-medical)
Source of heading or term bicssc
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Molecular biology
Source of heading or term bicssc
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Life sciences
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Bioinformatics
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Genetics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dutheil, Julien Y.
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://library.oapen.org/bitstream/20.500.12657/23339/1/1006816.pdf">https://library.oapen.org/bitstream/20.500.12657/23339/1/1006816.pdf</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/29509">https://directory.doabooks.org/handle/20.500.12854/29509</a>
Access status 0
Public note DOAB: description of the publication

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