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Stefan W. Schneider

Researcher at University of Geneva

Publications -  143
Citations -  20109

Stefan W. Schneider is an academic researcher from University of Geneva. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 27, co-authored 96 publications receiving 19200 citations. Previous affiliations of Stefan W. Schneider include University of Bern.

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Arlequin (version 3.0): An integrated software package for population genetics data analysis

TL;DR: Arlequin ver 3.0 as discussed by the authors is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.
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A simulated annealing approach to define the genetic structure of populations

TL;DR: The samova algorithm was applied to a set of European roe deer populations examined for their mitochondrial DNA (mtDNA) HVRI diversity and the inferred genetic structure seemed to confirm the hypothesis that some Italian populations were recently reintroduced from a Balkanic stock.
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Estimation of Past Demographic Parameters From the Distribution of Pairwise Differences When the Mutation Rates Vary Among Sites: Application to Human Mitochondrial DNA

TL;DR: This article shows how to infer past demographic parameters by explicitly taking into account a finite-sites model with heterogeneity of mutation rates, and proposes an alternative way to derive confidence intervals around the estimated parameters, based on a bootstrap approach.
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Why hunter-gatherer populations do not show signs of pleistocene demographic expansions.

TL;DR: A multivariate analysis of the genetic distances among 61 populations reveals that populations that did not undergo demographic expansions show increased genetic distances from other populations, confirming that the demography of the populations strongly affects observed genetic affinities.
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SIMCOAL: a general coalescent program for the simulation of molecular data in interconnected populations with arbitrary demography.

TL;DR: SIMCOAL (version 1.0) as mentioned in this paper is a computer program for the simulation of molecular genetic diversity in an arbitrary number of haploid populations examined for a set of fully linked loci.