Evolutionary Genomics

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. A...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2019
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14174
Acceso en línea:
https://link.springer.com/book/10.1007/978-1-4939-9074-0
http://hdl.handle.net/20.500.12010/14174
https://doi.org/10.1007/978-1-4939-9074-0
Palabra clave:
Biology
Bioinformatics
Genetics
Evolutionary biology
Life sciences
Rights
License
Abierto (Texto Completo)
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oai_identifier_str oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14174
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dc.title.spa.fl_str_mv Evolutionary Genomics
dc.title.alternative.spa.fl_str_mv Statistical and Computational Methods
title Evolutionary Genomics
spellingShingle Evolutionary Genomics
Biology
Bioinformatics
Genetics
Evolutionary biology
Life sciences
title_short Evolutionary Genomics
title_full Evolutionary Genomics
title_fullStr Evolutionary Genomics
title_full_unstemmed Evolutionary Genomics
title_sort Evolutionary Genomics
dc.subject.spa.fl_str_mv Biology
Bioinformatics
Genetics
topic Biology
Bioinformatics
Genetics
Evolutionary biology
Life sciences
dc.subject.lemb.spa.fl_str_mv Evolutionary biology
Life sciences
description 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.
publishDate 2019
dc.date.created.none.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-10-03T18:35:46Z
dc.date.available.none.fl_str_mv 2020-10-03T18:35:46Z
dc.type.local.spa.fl_str_mv Libro
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2f33
format http://purl.org/coar/resource_type/c_2f33
dc.identifier.isbn.none.fl_str_mv 978-1-4939-9074-0
978-1-4939-9073-3
dc.identifier.issn.none.fl_str_mv 1940-6029
1064-3745
dc.identifier.other.none.fl_str_mv https://link.springer.com/book/10.1007/978-1-4939-9074-0
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12010/14174
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/978-1-4939-9074-0
identifier_str_mv 978-1-4939-9074-0
978-1-4939-9073-3
1940-6029
1064-3745
url https://link.springer.com/book/10.1007/978-1-4939-9074-0
http://hdl.handle.net/20.500.12010/14174
https://doi.org/10.1007/978-1-4939-9074-0
dc.language.iso.spa.fl_str_mv eng
language eng
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.creativecommons.none.fl_str_mv https://creativecommons.org/licenses/by/4.0
rights_invalid_str_mv Abierto (Texto Completo)
https://creativecommons.org/licenses/by/4.0
http://purl.org/coar/access_right/c_abf2
dc.format.extent.spa.fl_str_mv 777 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Springer Nature
institution Universidad de Bogotá Jorge Tadeo Lozano
bitstream.url.fl_str_mv https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14174/1/Evolutionary%20Genomics.pdf
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14174/2/license.txt
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spelling 2020-10-03T18:35:46Z2020-10-03T18:35:46Z2019978-1-4939-9074-0978-1-4939-9073-31940-60291064-3745https://link.springer.com/book/10.1007/978-1-4939-9074-0http://hdl.handle.net/20.500.12010/14174https://doi.org/10.1007/978-1-4939-9074-0777 páginasapplication/pdfengSpringer NatureBiologyBioinformaticsGeneticsEvolutionary biologyLife sciencesEvolutionary GenomicsStatistical and Computational MethodsLibrohttp://purl.org/coar/resource_type/c_2f33Abierto (Texto Completo)https://creativecommons.org/licenses/by/4.0http://purl.org/coar/access_right/c_abf2This 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.Anisimova, MariaORIGINALEvolutionary Genomics.pdfEvolutionary Genomics.pdfVer documentoapplication/pdf35812452https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14174/1/Evolutionary%20Genomics.pdf26a1a4695bc9319a201dd169cf513d02MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14174/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessTHUMBNAILEvolutionary Genomics.pdf.jpgEvolutionary Genomics.pdf.jpgIM Thumbnailimage/jpeg16644https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/14174/3/Evolutionary%20Genomics.pdf.jpg3ccc1feccc2fd3d1f540c4f50c4b5fddMD53open access20.500.12010/14174oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/141742021-02-23 15:57:36.139open accessRepositorio Institucional - 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