Evolutionary Genomics Statistical and Computational Methods, Volume 2
Together 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 Computat...
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| Format: | eBook |
| Language: | English |
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Totowa, NJ
Humana Press
2012, 2012
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| Edition: | 1st ed. 2012 |
| Series: | Methods in Molecular Biology
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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