Evolutionary Genomics : Statistical and Computational Methods (Record no. 47219)

MARC details
000 -LEADER
fixed length control field 02106nam a2200277Ia 4500
000 - LEADER
fixed length control field 02530naaa 00349uu
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/38846
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211222135030.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211013s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-1-4939-9074-0
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4939-9074-0
042 ## - AUTHENTICATION CODE
Authentication code dc
245 #0 - TITLE STATEMENT
Title Evolutionary Genomics : Statistical and Computational Methods
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Springer Nature
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (780 p.)
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results. Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Life sciences
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Anisimova, Maria
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Anisimova, Maria
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/38846">https://directory.doabooks.org/handle/20.500.12854/38846</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://library.oapen.org/bitstream/20.500.12657/23338/1/1006817.pdf">https://library.oapen.org/bitstream/20.500.12657/23338/1/1006817.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
Holdings
Withdrawn status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Library of Congress Classification   Not For Loan Directory of Open Access Books Directory of Open Access Books 12/22/2021   12/22/2021 12/22/2021 E-Book

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