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2011 Evolutionary quantitative genetics
2011 Next-gen sequencing
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Anatomy Ontologies
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Computational phyloinformatics
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Durham
EQG 2011 Course Materials
EQG Exercise 1.1: Estimation of heritability
EQG Exercise 1.2: Identification of QTLs
EQG Exercise 2.1: Multivariate inheritance
EQG Exercise 2.2: Selection as a surface
EQG Exercise 3.1: Evolution on adaptive landscapes
EQG Exercise 3.2 G-matrix stability and evolution
EQG Exercise 4.1: Estimation of trees
EQG Exercise 4.2: Phylogenetic covariance
EQG Exercise 5.1
EQG Exercise 5.1: Estimation of OU parameters
EQG Exercise 5.2: Models of threshold and continuous characters
EQG Exercise 6.1 Fitting more models to data in R
EQG Lecture 1.2: Inheritance of a single trait
EQG Lecture 1.3: The nature of quantitative variation
EQG Lecture 2.1 Selection on single and multiple traits
EQG Lecture 2.2 Multivariate inheritance and response to selection
EQG Lecture 2.3 Selection as a surface
EQG Lecture 3.1 Drift of single and multiple traits
EQG Lecture 3.2 Evolution on a stationary adaptive landscape
EQG Lecture 3.3: Simulating the evolution of the G-matrix
EQG Lecture 4.1: Phylogenetic inference under Brownian Motion
EQG Lecture 4.2: Change in quantitative characters on phylogenies
EQG Lecture 4.3: Comparative methods with quantitative characters
EQG Lecture 5.1: Using fossils with molecular phylogenies
EQG Lecture 5.2: OU models on phylogenies
EQG Lecture 5.3: Quantitative genetic models of discrete characters
EQG Lecture 6.1: Testing stochastic models on phylogenies and with time series data
EQG Lecture 6.1: Testing stochastic models with microevolutionary, time-series and phylogenetic data
EQG Lecture 6.2 Fitting more macroevolutionary models to data
EQG Lecture 6.3:Selection in multiple populations
EQG Participants
EQG exercise 1.1: Estimation of heritability
EQG exercise 1.2: Identification of QTLs
Evolutionary quantitative genetics
IT Help
Kyoto 2011
Lecture 4.1: Phylogenetic inference under Brownian Motion
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