scholarly journals ABC for ancestral inference

2011 ◽  
Author(s):  
Richard Wilkinson ◽  
Simon Tavare
Keyword(s):  
Ancestral Inference

scholarly journals Ancestral Inference in Population Genetics

1994 ◽  
Vol 9 (3) ◽  
pp. 307-319 ◽  
Author(s):  
R. C. Griffiths ◽  
Simon Tavare
Keyword(s):  
Population Genetics ◽  
Ancestral Inference

Ancestral inference: I. The problem and the method

1978 ◽  
Vol 42 (1) ◽  
pp. 95-108 ◽  
Author(s):  
E. A. Thompson ◽  
C. Cannings ◽  
M. H. Skolnick
Keyword(s):  
Ancestral Inference

Importance sampling on coalescent histories. II: Subdivided population models

2004 ◽  
Vol 36 (2) ◽  
pp. 434-454 ◽  
Author(s):  
Maria De Iorio ◽  
Robert C. Griffiths
Keyword(s):  
Importance Sampling ◽  
Dna Sequences ◽  
Sampling Technique ◽  
Population Models ◽  
Gene Trees ◽  
Gene Frequencies ◽  
Sample Distribution ◽  
Subdivided Population ◽  
Importance Sampling Technique ◽  
Ancestral Inference

De Iorio and Griffiths (2004) developed a new method of constructing sequential importance-sampling proposal distributions on coalescent histories of a sample of genes for computing the likelihood of a type configuration of genes in the sample by simulation. The method is based on approximating the diffusion-process generator describing the distribution of population gene frequencies, leading to an approximate sample distribution and finally to importance-sampling proposal distributions. This paper applies that method to construct an importance-sampling algorithm for computing the likelihood of samples of genes in subdivided population models. The importance-sampling technique of Stephens and Donnelly (2000) is thus extended to models with a Markov chain mutation mechanism between gene types and migration of genes between subpopulations. An algorithm for computing the likelihood of a sample configuration of genes from a subdivided population in an infinitely-many-alleles model of mutation is derived, extending Ewens's (1972) sampling formula in a single population. Likelihood calculation and ancestral inference in gene trees constructed from DNA sequences under the infinitely-many-sites model are also studied. The Griffiths-Tavaré method of likelihood calculation in gene trees of Bahlo and Griffiths (2000) is improved for subdivided populations.

scholarly journals Ancestral inference in tumors: How much can we know?

2014 ◽  
Vol 359 ◽  
pp. 136-145 ◽  
Author(s):  
Junsong Zhao ◽  
Kimberly D. Siegmund ◽  
Darryl Shibata ◽  
Paul Marjoram
Keyword(s):  
Ancestral Inference

Ancestral inference on gene trees under selection

2004 ◽  
Vol 66 (3) ◽  
pp. 219-232 ◽  
Author(s):  
Graham Coop ◽  
Robert C. Griffiths
Keyword(s):  
Gene Trees ◽  
Ancestral Inference

Ancestral inference.

1978 ◽  
Vol 42 (2) ◽  
pp. 239-253 ◽  
Author(s):  
E. A. THOMPSON
Keyword(s):  
Ancestral Inference
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