Evolutionary Genomics
Humana Press Inc. (Verlag)
978-1-4939-6042-2 (ISBN)
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.
Tangled 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.
Erscheinungsdatum | 19.08.2017 |
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Reihe/Serie | Methods in Molecular Biology ; 856 |
Zusatzinfo | XV, 556 p. |
Verlagsort | Totowa, NJ |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Medizin / Pharmazie ► Medizinische Fachgebiete |
Studium ► 2. Studienabschnitt (Klinik) ► Humangenetik | |
Naturwissenschaften ► Biologie ► Evolution | |
ISBN-10 | 1-4939-6042-3 / 1493960423 |
ISBN-13 | 978-1-4939-6042-2 / 9781493960422 |
Zustand | Neuware |
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