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 |