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Interpreted as:

title:(Population AND Structure)

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1 Report

Population Structure

Year: 2013

Language: English

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2 Conference paper

Correcting for ascertainment bias in the inference of population structure

Year: 2010

Language: English

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3 Journal article

Correcting for ascertainment bias in the inference of population structure

in view of making inference of population structure (i.e.identifying clusters of individuals) brings up challenging numerical difficulties. These difficulties are related to the presence of intractable normalizing constants in Metropolis-Hastings acceptance ratios. This can be solved via an Markov chain

Year: 2009

Language: English

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4 Journal article

On the inference of spatial structure from population genetics data

In a series of recent papers, Tess, a computer program based on the concept of hidden Markov random field, has been proposed to infer the number and locations of panmictic population units from the genotypes and spatial locations of these individuals. The method seems to be of broad appeal

Year: 2009

Language: English

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5 Journal article

On the inference of spatial structure from population genetics data

Motivation: In a series of recent papers, Tess, a computer program based on the concept of hidden Markov random field, has been proposed to infer the number and locations of panmictic population units from the genotypes and spatial locations of these individuals. The method seems to be of broad

Year: 2009

Language: Undetermined

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6 Journal article

Using AFLP markers and the Geneland program for the inference of population genetic structure

the computer program Geneland designed to infer population structure has been adapted to deal with dominant markers; and (ii) we use Geneland for numerical comparison of dominant and codominant markers to perform clustering. AFLP markers lead to less accurate results than bi-allelic codominant markers

Year: 2010

Language: English

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7 Preprint article

Hidden Markov random fields and the genetic structure of the scandinavian brown bear population

Year: 2007

Language: English

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8 Journal article

Response to comment on ‘On the inference of spatial structure from population genetics data’

Year: 2009

Language: Undetermined

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9 Journal article

Response to comment on ‘On the inference of spatial structure from population genetics data’

Year: 2009

Language: English

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10 Journal article

Genetic structure is influenced by landscape features: empirical evidence from a roe deer population : LANDSCAPE AFFECTS ROE DEER GENETIC STRUCTURE

The delimitation of population units is of primary importance in population management and conservation biology. Moreover, when coupled with landscape data, the description of population genetic structure can provide valuable knowledge about the permeability of landscape features, which is often

Year: 2006

Language: English

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