Coalescent models describe the distribution of ancestry in a population under some assumptions on the variation in the parameter Θ = 2Nν, with N the number of alleles in the population and ν the neutral mutation rate. The present document gives the likelihood function, and some computational details, for several models with Θ varying through time. These models are available in coalescentMCMC as R functions (see below). The general mathematical framework has been given by Griffiths & Tavaré [1]. If Θ is constant, the probability of observing the coalescent times t1,..., tn is: n∏ i
Understanding the variation of recombination rates across a given genome is crucial for disease gene...
The coalescent is a stochastic process representing ancestral lineages in a population undergoing ne...
Genealogical or coalescent methods have proved very useful in interpreting and understanding a wide ...
Coalescent models describe the distribution of ancestry in a population under some assumptions on th...
coalescent model The coalescent is a stochastic model for the genealogical tree of a sample of n seq...
The coalescent is a random process that describes the genealogy relating a sample of individuals, an...
One of the main problems in mathematical genetics is the inference of evolutionary parameters of a p...
We consider a single genetic locus which carries two alleles, labelled P and Q. This locus experienc...
We consider a single genetic locus which carries two alleles, labelled P and Q. This locus experienc...
The coalescent is the primary probabilistic model for modeling genealogies. However, in practice, th...
Coalescent analyses have emerged in the recent years as a powerful approach to investigate the demog...
We present a robust method which translates information on the speed of coming down from infinity of...
Kingman’s coalescent process is a mathematical model of genealogy in which only pairwise common ance...
The coalescent with recombination describes the distribution of genealogical histories and resulting...
Theoretical population genetics bridges mathematics and evolutionary biology. Kingman\u27s coalescen...
Understanding the variation of recombination rates across a given genome is crucial for disease gene...
The coalescent is a stochastic process representing ancestral lineages in a population undergoing ne...
Genealogical or coalescent methods have proved very useful in interpreting and understanding a wide ...
Coalescent models describe the distribution of ancestry in a population under some assumptions on th...
coalescent model The coalescent is a stochastic model for the genealogical tree of a sample of n seq...
The coalescent is a random process that describes the genealogy relating a sample of individuals, an...
One of the main problems in mathematical genetics is the inference of evolutionary parameters of a p...
We consider a single genetic locus which carries two alleles, labelled P and Q. This locus experienc...
We consider a single genetic locus which carries two alleles, labelled P and Q. This locus experienc...
The coalescent is the primary probabilistic model for modeling genealogies. However, in practice, th...
Coalescent analyses have emerged in the recent years as a powerful approach to investigate the demog...
We present a robust method which translates information on the speed of coming down from infinity of...
Kingman’s coalescent process is a mathematical model of genealogy in which only pairwise common ance...
The coalescent with recombination describes the distribution of genealogical histories and resulting...
Theoretical population genetics bridges mathematics and evolutionary biology. Kingman\u27s coalescen...
Understanding the variation of recombination rates across a given genome is crucial for disease gene...
The coalescent is a stochastic process representing ancestral lineages in a population undergoing ne...
Genealogical or coalescent methods have proved very useful in interpreting and understanding a wide ...