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Cited by 317

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Coalescent genealogy samplers: windows into population history

Open access
Kuhner, Mary K.·2009·Trends in Ecology & Evolution

Abstract

Coalescent genealogy samplers attempt to estimate past qualities of a population, such as its size, growth rate, patterns of gene flow or time of divergence from another population, based on samples of molecular data. Genealogy samplers are increasingly popular because of their potential to disentangle complex population histories. In the last decade they have been widely applied to systems ranging from humans to viruses. Findings include detection of unexpected reproductive inequality in fish, new estimates of historical whale abundance, exoneration of humans for the prehistoric decline of bison and inference of a selective sweep on the human Y chromosome. This review summarizes available genealogy-sampler software, including data requirements and limitations on the use of each program.

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Metadata

Authors
Kuhner, M. K.
Venue
Trends in Ecology & Evolution
Publisher
Elsevier BV
Published
2009-02
Volume
24
Issue
2
Pages
86-93
ISSN
0169-5347 (ISSN-L)
OpenAlex
W2086300240
Cited by
317
References
39
FWCI
1.80
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Coalescent genealogy samplers: windows into population history. https://app.cochat.ai/papers/10.1016/j.tree.2008.09.007
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Kuhner, M. K. (2009). Coalescent genealogy samplers: windows into population history. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2008.09.007

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.