Learn More
A Bayesian coalescent-based method has recently been proposed to delimit species using multilocus genetic sequence data. Posterior probabilities of different species delimitation models are calculated using reversible-jump Markov chain Monte Carlo algorithms. The method accounts for species phylogenies and coalescent events in both extant and extinct(More)
MOTIVATION Cancer is well known to be the end result of somatic mutations that disrupt normal cell division. The number of such mutations that have to be accumulated in a cell before cancer develops depends on the type of cancer. The waiting time T(m) until the appearance of m mutations in a cell is thus an important quantity in population genetics models(More)
BACKGROUND Highly migratory species are usually expected to have minimal population substructure because strong gene flow has the effect of homogenizing genetic variation over geographical populations, counteracting random drift, selection and mutation. The migratory locust Locusta migratoria belongs to a monotypic genus, and is an infamous pest insect with(More)
1. Due to the polymorphism in the ancestral species and the stochastic fluctuation of the coalescent process, the divergence time between sequences from two closely related species varies throughout the genome. This variation is described by an exponential distribution. Gene flow between the species causes additional variation in the sequence divergence(More)
Motivation: Cancer is well known to be the end result of somatic mutations that disrupt normal cell division. The number of such mutations that have to be accumulated in a cell before cancer develops depends on the type of cancer. The waiting time T m until the appearance of m mutations in a cell is thus an important quantity in population genetics models(More)
  • 1