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008			200123s2020 xxu| o |||| 0|eng d
020			_a9781071601990
024	7		_a10.1007/978-1-0716-0199-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH434 _b2020 EB
245	0	0	_aStatistical Population Genomics _cedited by Julien Y. Dutheil
250			_a1st edition 2020
264		1	_aNew York, NY _bSpringer International Publising _c2020
300			_a1 recurso en línea (XII, 468 páginas) _b203 ilustraciones, 98 ilustraciones a color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v2090
505	0		_aA Population Genomics Lexicon -- Processing and Analyzing Multiple Genomes Alignments with MafFilter -- Data Management and Summary Statistics with PLINK -- Exploring Population Structure with Admixture Models and Principal Components Analysis -- Detecting Positive Selection in Populations using Genetic Data -- polyDFE: Inferring the Distribution of Fitness Effects and Properties of Beneficial Mutations from Polymorphism Data -- MSMC and MSMC2: The Multiple Sequentially Markovian Coalescent.-Ancestral Population Genomics with Jocx, A Coalescent Hidden Markov Model -- Coalescent Simulation with sprime -- Inference of Ancestral Recombination Graphs using ARGweaver -- Population Genomics of Transitions to Selfing in Brassicaceae Model Systems -- Genomics of Long- and Short- Term Adaptation in Maize and Teosinte -- Neurospora from Natural Populations: Population Genomics Insights Into the Life History of a Model Microbial Eukaryote -- Population Genomics of Fungal Plant Pathogens and the Analyses of Rapidly Evolving Genome Compartments -- Population Genomics on the Fly: Recent Advances in Drosophila -- Genomic Access to the Diversity of Fishes -- Avian Population Genomics Taking Off: Latest Findings and Future Prospects -- Population Genomics of the House Mouse and the Brown Rat -- Population Genomics in the Great Apes.
506	0		_aOpen Access
520			_aThis 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.
988			_aSpringer_Protocols_2020
650		7	_2embne _9140738 _aGenética microbiana
650		7	_2embne _9160489 _aBioinformática
776	0	8	_iPrinted edition: _z9781071601983
776	0	8	_iPrinted edition: _z9781071602003
776	0	8	_iPrinted edition: _z9781071602010
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-0199-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2023 _dz _eb _zSI