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020 _a9781617795855
024 7 _a10.1007/978-1-61779-585-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH438.4 .S73
_b2012 EB
245 0 0 _aEvolutionary Genomics :
_bStatistical and Computational Methods
_nVolume 2
_cedited by Maria Anisimova
250 _a1st edition 2012
264 1 _aTotowa, NJ
_bHumana Press
_c2012
300 _a1 recurso en línea (XV, 556 páginas)
_b111 ilustraciones, 44 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
_v856
505 0 _aTangled Trees: The Challenge of Inferring Species Trees from Coalescent and Non-Coalescent Genes -- Modeling Gene Family Evolution and Reconciling Phylogenetic Discord -- Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life -- Philosophy and Evolution: Minding the Gap Between Evolutionary Patterns and Tree-Like Patterns -- Selection on the Protein Coding Genome -- Methods to Detect Selection on Non-Coding DNA -- The Origin and Evolution of New Genes -- Evolution of Protein Domain Architectures -- Estimating Recombination Rates from Genetic Variation in Humans -- Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forces -- Association Mapping and Disease: Evolutionary Perspectives -- Ancestral Population Genomics -- Non-Redundant Representation of Ancestral Recombinations Graphs -- Using Genomic Tools to Study Regulatory Evolution -- Characterization and Evolutionary Analysis of Protein-Protein Interaction Networks -- Statistical Methods in Metabolomics -- Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN -- Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases -- Genetical Genomics for Evolutionary Studies -- Genomics Data Resources: Frameworks and Standards -- Sharing Programming Resources Between Bio* Projects through Remote Procedure Call and Native Call Stack Strategies -- Scalable Computing for Evolutionary Genomics.
520 _aTogether with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies.  Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight.  Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data.  Written in the highly successful Methods in Molecular Biology™ series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses.   Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.
988 _aSpringer_Protocols_2012
650 7 _2embne
_9164326
_aGenómica
_xMétodos estadísticos
650 7 _2embne
_9147974
_aGenética evolutiva
_vManuales de laboratorio
776 0 8 _iPrinted edition:
_z9781617795848
776 0 8 _iPrinted edition:
_z9781617795862
776 0 8 _iPrinted edition:
_z9781493960422
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-61779-585-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b09/2023
_dz
_eb
_zSI