Gene Genealogies, Variation and Evolution - A Primer in Coalescent Theory

By Jotun Hein, M. Schierup, C. Wiuf. 2004

533 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Genome-Wide Inference of Ancestral Recombination Graphs (2013, methodology): “An extension of the widely used coalescent framework [1,2,9] that includes recombination [21] is regarded as an adequately rich”
Phylogenetic signal, evolutionary process, and rate. (2008, background): “In addition, gene lineage coalescence tends to precede speciation by, on average, 2 · Ne generations, in which Ne is the effective population size (Pamilo and Nei, 1988; Hein et al., 2005).”
BETA-COALESCENTS AND CONTINUOUS STABLE RANDOM TREES (2006, background): “Much background material on the use of coalescent models in the field of population genetics can be found in the recent book [29] or in the review paper [25].”
Efficient ancestry and mutation simulation with msprime 1.0 (2021, background): “It has proved to be a powerful model, and is now central to population genetics (Hudson 1990; Hein et al. 2004; Wakeley 2008).”
Smooth skyride through a rough skyline: Bayesian coalescent-based inference of population dynamics. (2008, background): “Because genealogical shapes leave their imprints in the genomes of sampled individuals, the coalescent allows for the inference of population genetics parameters, including population size dynamics, directly from the observed genomic sequences (Hein et al. 2005).”