Evolutionary Genomics : Statistical and Computational Methods /
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
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| Edición: | 2nd ed. 2019. |
| Colección: | Methods in Molecular Biology,
1910 |
| Materias: |
Tabla de Contenidos:
- 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 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.