Multilocus Methods for Estimating Population Sizes, Migration Rates and Divergence Time, With Applications to the Divergence of Drosophila pseudoobscura and D. persimilis
By J. Hey, Rasmus Nielsen. Genetics, 2004
1,472 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/bcc0ded7fefb2814adee45eee39838ea3af30258
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- MARK A. Beaumont
- F. Allendorf
- Tami E. Cruickshank
- Matthew W. Hahn
- Samuel A. Cushman
- R. Holderegger
- M. Hellberg
- Laurent Excoffier
In Molecular Biology
- Peter Beerli
- Alexei J. Drummond
- MARK A. Beaumont
- Tami E. Cruickshank
- Jordan D. Satler
- N. Reid
- Tara A. Pelletier
- Keith A. Crandall
In Plant Science
- Peter Beerli
- MARK A. Beaumont
- F. Allendorf
- Tami E. Cruickshank
- Matthew W. Hahn
- Guillaume Bauchet
- C. Pinho
- Robin S. Waples
Citations in the corpus
- Bayesian Inference of Species Trees from Multilocus Data (2009, background): “It has been suggested that incorporating a substantial period of limited gene flow as a transition between a single ancestral species and two descendant species is more realistic (Hey and Nielsen 2004).”
- Approximate Bayesian Computation (2019, background): “The Nielsen-Wakely-Hey [5, 3, 4] approach is very flexible and very powerful, but even it doesn’t cover all possible scenarios.”
- Isolation and introgression in the Intermountain West: contrasting gene genealogies reveal the complex biogeographic history of the American pika (Ochotona princeps) (2010, methodology): “We estimated h (effective population size scaled by mutation rate) using the maximum-likelihood formulation of the isolation with migration coalescent model implemented in im (Hey & Nielsen, 2004).”
- Identification of management units using population genetic data. (2007, methodology): “Figure Ib depicts the posterior probability distribution of the parameter mNe estimated [ 11 ] from simulated data from two putative”
- INVITED REVIEW: What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity (2006, methodology): “Recently developed methods have the potential to distinguish them in some cases (Hey and Nielsen 2004).”
- Implications of life history for genetic structure and migration rates of southern African coastal invertebrates: planktonic, abbreviated and direct development (2007, methodology): “Ongoing migration rates within regional lineages were estimated using the program IM (Hey and Nielsen 2004), which simultaneously estimates pairwise migration rates between two groups of populations, as well as their time of divergence and eVective population sizes.”
- Applications of landscape genetics in conservation biology: concepts and challenges (2010, background): “This program estimates the divergence time and migration rates between the diverging populations (Hey and Nielsen 2004).”
- Adaptive Multiple Importance Sampling (2009, methodology): “This has been performed with the software IM (Hey and Nielsen, 2004).”
- Genetic Diversity in Tomato (Solanum lycopersicum) and Its Wild Relatives (2012, methodology): “…demographic scenarios and estimating the parameters of these scenarios (bottleneck intensity, ancestral population size, migration rates) using Markovian model implemented in tools such as IM* program (Hey and Nielsen 2004) or ABC1 methodology (Beaumont, Zhang et al. 2002; Lopes and Beaumont 2010).”
- Phylogeography: its development and impact in Australo-Papuan ornithology with special reference to paraphyly in Australian birds (2009, background): “Increasingly, the program IM (‘isolation with migration’; Hey and Nielsen 2004; Hey 2005) (Fig.”
- MTML-msBayes: Approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity (2011, methodology): “Edwards 2008; 270,000 y.b.p) and finches (Jennings and Edwards 2005; 432,000 y.b.p.) using the same rates and a similar coalescent-based isolation with migration model that used Markov chain Monte Carlo [49,60].”