Statistical Methods in Molecular Evolution

• Κύριος συγγραφέας: Nielsen, Rasmus (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2005.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Life sciences.; Bioinformatics.; Evolutionary biology.; Plant genetics.; Biomathematics.; Statistics.; Life Sciences.; Evolutionary Biology.; Statistics for Life Sciences, Medicine, Health Sciences.; Genetics and Population Dynamics.; Mathematical and Computational Biology.; Plant Genetics & Genomics.

In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study i...

Πίνακας περιεχομένων:

• Markov Models in Molecular Evolution
• to Applications of the Likelihood Function in Molecular Evolution
• to Markov Chain Monte Carlo Methods in Molecular Evolution
• Population Genetics of Molecular Evolution
• Practical Approaches for Data Analysis
• Maximum Likelihood Methods for Detecting Adaptive Protein Evolution
• HyPhy: Hypothesis Testing Using Phylogenies
• Bayesian Analysis of Molecular Evolution Using MrBayes
• Estimation of Divergence Times from Molecular Sequence Data
• Models of Molecular Evolution
• Markov Models of Protein Sequence Evolution
• Models of Microsatellite Evolution
• Genome Rearrangement
• Phylogenetic Hidden Markov Models
• Inferences on Molecular Evolution
• The Evolutionary Causes and Consequences of Base Composition Variation
• Statistical Alignment: Recent Progress, New Applications, and Challenges
• Estimating Substitution Matrices
• Posterior Mapping and Posterior Predictive Distributions
• Assessing the Uncertainty in Phylogenetic Inference.