Evolutionary Genomics
Humana Press Inc. (Verlag)
978-1-4939-9073-3 (ISBN)
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.
Introduction 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 GenomeContent: 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.
Erscheinungsdatum | 15.03.2019 |
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Reihe/Serie | Methods in Molecular Biology ; 1910 |
Zusatzinfo | 110 Illustrations, color; 79 Illustrations, black and white; XVII, 780 p. 189 illus., 110 illus. in color. With online files/update. |
Verlagsort | Totowa, NJ |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
Studium ► 2. Studienabschnitt (Klinik) ► Humangenetik | |
Naturwissenschaften ► Biologie ► Evolution | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
Schlagworte | Genome biology • Genotype and phenotype • Molecular data • Molecular Evolution • open access • probability and statistics • sequence homology |
ISBN-10 | 1-4939-9073-X / 149399073X |
ISBN-13 | 978-1-4939-9073-3 / 9781493990733 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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