LEADER 05668 am 22007813u 450 001 9910372751703321 005 20220610112107.0 010 $a1-4939-9074-8 024 7 $a10.1007/978-1-4939-9074-0 035 $a(CKB)4100000008618215 035 $a(DE-He213)978-1-4939-9074-0 035 $a(MiAaPQ)EBC5920742 035 $a(Au-PeEL)EBL5920742 035 $a(OCoLC)1132427739 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/38846 035 $a(PPN)238485935 035 $a(EXLCZ)994100000008618215 100 $a20190705d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvolutionary Genomics$b[electronic resource] $eStatistical and Computational Methods /$fedited by Maria Anisimova 205 $a2nd ed. 2019. 210 $cSpringer Nature$d2019 210 1$aNew York, NY :$cSpringer New York :$cImprint: Humana,$d2019. 215 $a1 online resource (XVII, 780 p. 189 illus., 110 illus. in color.) 225 1 $aMethods in Molecular Biology,$x1064-3745 ;$v1910 311 $a1-4939-9073-X 327 $aIntroduction to Genome Biology and Diversity -- Probability, Statistics, and Computational Science -- A Not-So-Long Introduction to Computational Molecular Evolution -- Whole-Genome Alignment -- Inferring Orthology and Paralogy -- Transposable Elements and Their Identification -- Modern Phylogenomics: Building Phylogenetic Trees Using the Multispecies Coalescent Model -- Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life -- The Methodology Behind Network-Thinking: Graphs to Analyze Microbial Complexity and Evolution -- Bayesian Molecular Clock Dating Using Genome-Scale Datasets -- Genome Evolution in Outcrossing vs. Selfing vs. Asexual Species -- Selection Acting on Genomes -- Looking for Darwin in Genomic Sequences: Validity and Success Depends on the Relationship between Model and Data -- Evolution of Viral Genomes: Interplay between Selection, Recombination, and Other Forces -- Evolution of Protein Domain Architectures -- New Insights on the Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans -- Association Mapping and Disease: Evolutionary Perspectives -- Ancestral Population Genomics -- Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN -- Multiple Data Analyses and Statistical Approaches for Analyzing Data from Metagenomic Studies and Clinical Trials -- Systems Genetics for Evolutionary Studies -- Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases -- Semantic Integration and Enrichment of Heterogeneous Biological Databases -- High-Performance Computing in Bayesian Phylogenetics and Phylodynamics Using BEAGLE -- Scalable Workflows and Reproducible Data Analysis for Genomics -- Sharing Programming Resources between Bio* Projects. 330 $aThis open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results. Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward. 410 0$aMethods in Molecular Biology,$x1064-3745 ;$v1910 606 $aBioinformatics 606 $aGenetics 606 $aEvolution (Biology) 606 $aBioinformatics$3http://scigraph.springernature.com/things/product-market-codes/L15001 606 $aGenetics and Genomics$3http://scigraph.springernature.com/things/product-market-codes/L32000 606 $aEvolutionary Biology$3http://scigraph.springernature.com/things/product-market-codes/L21001 606 $aGenčtica evolutiva$2thub 606 $aGenōmica$2thub 606 $aModels matemātics$2thub 606 $aBioinformātica$2thub 608 $aLlibres electrōnics$2thub 610 $aLife sciences 610 $aBioinformatics 610 $aGenetics 610 $aEvolutionary biology 615 0$aBioinformatics. 615 0$aGenetics. 615 0$aEvolution (Biology). 615 14$aBioinformatics. 615 24$aGenetics and Genomics. 615 24$aEvolutionary Biology. 615 7$aGenčtica evolutiva 615 7$aGenōmica 615 7$aModels matemātics 615 7$aBioinformātica 676 $a570.285 700 $aAnisimova$b Maria$4edt$01356743 702 $aAnisimova$b Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910372751703321 996 $aEvolutionary Genomics$93361618 997 $aUNINA