Why to account for finite sites in population genetic studies and how to do this with Jaatha 2.0-Reference-Cited by-同舟云学术

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Why to account for finite sites in population genetic studies and how to do this with Jaatha 2.0

Published:2013-09-04 Issue:11 Volume:3 Page:3647-3662
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

Mathew Lisha A.¹²,Staab Paul R.³,Rose Laura E.⁴,Metzler Dirk³

Affiliation:

1. Life Sciences; École Polytechnique Fédérale de Lausanne; Lausanne Switzerland

2. Swiss Institiute of Bioinformatics (SIB); Lausanne Switzerland

3. Department of Biology; Ludwig-Maximilians-Universität München; Planegg-Martinsried Germany

4. Institute of Population Genetics, Heinrich Heine University; Düsseldorf Germany

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference79 articles.

1. A map of human genome variation from population-scale sequencing;1000 Genomes Project Consortium;Nature,2010

2. A genome-wide departure from the standard neutral model in natural populations of Drosophila;Andolfatto;Genetics,2000

3. The impact of population expansion and mutation rate heterogeneity on DNA sequence polymorphism;Aris-Brosou;Mol. Biol. Evol.,1996

4. Using multilocus sequence data to assess population structure, natural selection, and linkage disequilibrium in wild tomatoes;Arunyawat;Mol. Biol. Evol.,2007

5. Likelihood-free inference of population structure and local adaptation in a Bayesian hierarchical model;Bazin;Genetics,2010

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