LAMARC 2.0: maximum likelihood and Bayesian estimation of population parameters
By M. Kuhner. Bioinform., 2006
658 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/02e66dd4e54a0d1d91af97b931fb44910a18adb6
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In Aging
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Citations in the corpus
- Phylogeny and comparative phylogeography of Sclerurus (Aves: Furnariidae) reveal constant and cryptic diversification in an old radiation of rain forest understorey specialists (2013, methodology): “…genetic summary statistics and estimated parameters such as genetic diversity (Q) and population growth rate (g) using the lamarc package (Kuhner, 2006). lamarc implements a MCMC method for sampling genealogies and calculates a likelihood curve used to determine the values of Q and g…”
- IS A NEW AND GENERAL THEORY OF MOLECULAR SYSTEMATICS EMERGING? (2009, methodology): “Some recent phylogeographic approaches that incorporate recombination within loci into the model for multlocus data appear promising (Kuhner 2006; Becquet and Przeworski 2007).”
- Distribution modelling and statistical phylogeography: an integrative framework for generating and testing alternative biogeographical hypotheses (2007, methodology): “The parameter h might be estimated using a coalescent-based program (e.g. using lamarc: Kuhner, 2006), as might an estimate of a population growth parameter in the event that a constant effective population size is not a reasonable assumption.”
- Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7 (2018, methodology): “2014), LAMARC (Kuhner 2006), Migrate (Beerli 2006), MrBayes (Ronquist et al.”
- Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions (2013, methodology): “6 (Kuhner 2006).”
- Non-linear regression models for Approximate Bayesian Computation (2008, methodology): “Although many likelihood-based methods have been proposed in this framework, these meth-ods are restricted to particular demographic and genetic processes (Stephens and Donnelly 2000; Wilson et al. 2003; Kuhner 2006; Hey and Nielsen 2007).”
- Genome-Wide Inference of Ancestral Recombination Graphs (2013, background): “During the past two decades, various attempts have been made to perform explicit inference of ARGs using techniques such as importance sampling [19,22] (see also [23]) and Markov chain Monte Carlo sampling [24–27].”
- How to use MIGRATE or why are Markov chain Monte Carlo programs difficult to use (2009, methodology): “Recently, the programs MIGRATE (Beerli 2006) and LAMARC (Kuhner 2006) were improved and can run both BI and ML.”
- Unified Framework to Evaluate Panmixia and Migration Direction Among Multiple Sampling Locations (2010, background): “…of the original n-coalescent of Kingman to multiple populations with migration (Strobeck 1987; Hudson 1991) leads to probabilistic inference programs that consider potentially complex migration patterns among sampling locations (for example, Beerli and Felsenstein 2001; Beerli 2006; Kuhner 2006).”