Evolutionary Genomics

Anisimova, Maria

doi:https://doi.org/10.1007/978-1-4939-9074-0

Evolutionary Genomics

dc.creator	Anisimova, Maria
dc.date.accessioned	2020-10-03T18:35:46Z
dc.date.available	2020-10-03T18:35:46Z
dc.date.created	2019
dc.description.abstractenglish	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.	spa
dc.format.extent	777 páginas	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	https://doi.org/10.1007/978-1-4939-9074-0
dc.identifier.isbn	978-1-4939-9074-0
dc.identifier.isbn	978-1-4939-9073-3
dc.identifier.issn	1940-6029
dc.identifier.issn	1064-3745
dc.identifier.other	https://link.springer.com/book/10.1007/978-1-4939-9074-0
dc.identifier.uri	https://hdl.handle.net/20.500.12010/14174
dc.language.iso	eng	spa
dc.publisher	Springer Nature	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.creativecommons	https://creativecommons.org/licenses/by/4.0
dc.rights.local	Abierto (Texto Completo)	spa
dc.subject	Biology	spa
dc.subject	Bioinformatics	spa
dc.subject	Genetics	spa
dc.subject.lemb	Evolutionary biology	spa
dc.subject.lemb	Life sciences	spa
dc.title	Evolutionary Genomics	spa
dc.title.alternative	Statistical and Computational Methods	spa
dc.type.coar	http://purl.org/coar/resource_type/c_2f33	spa
dc.type.local	Libro	spa

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Facultad de Ciencias Naturales e Ingeniería