MARC details
| 000 -LEADER |
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| fixed length control field |
01983nam a2200277Ia 4500 |
| 000 - LEADER |
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| fixed length control field |
02307naaa 00313uu |
| 001 - CONTROL NUMBER |
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| control field |
https://directory.doabooks.org/handle/20.500.12854/29509 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20211222141240.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
211013s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
978-1-0716-0199-0 |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/978-1-0716-0199-0 |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
dc |
| 245 #0 - TITLE STATEMENT |
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| Title |
Statistical Population Genomics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Name of publisher, distributor, etc. |
Springer Nature |
| Date of publication, distribution, etc. |
2020 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 electronic resource (468 p.) |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
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| Terms governing access |
Open Access |
| 520 ## - SUMMARY, ETC. |
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| 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 |
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| Terms governing use and reproduction |
Creative Commons |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Life sciences |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Dutheil, Julien Y. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Dutheil, Julien Y. |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://directory.doabooks.org/handle/20.500.12854/29509">https://directory.doabooks.org/handle/20.500.12854/29509</a> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| 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> |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="www.oapen.org">www.oapen.org</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
E-Book |
