Title |
Coalescent Tree Imbalance and a Simple Test for Selective Sweeps Based on Microsatellite Variation
|
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Published in |
PLoS Computational Biology, May 2013
|
DOI | 10.1371/journal.pcbi.1003060 |
Pubmed ID | |
Authors |
Haipeng Li, Thomas Wiehe |
Abstract |
Selective sweeps are at the core of adaptive evolution. We study how the shape of coalescent trees is affected by recent selective sweeps. To do so we define a coarse-grained measure of tree topology. This measure has appealing analytical properties, its distribution is derived from a uniform, and it is easy to estimate from experimental data. We show how it can be cast into a test for recent selective sweeps using microsatellite markers and present an application to an experimental data set from Plasmodium falciparum. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Germany | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 36 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 28% |
Student > Ph. D. Student | 8 | 21% |
Student > Bachelor | 5 | 13% |
Student > Doctoral Student | 3 | 8% |
Other | 3 | 8% |
Other | 7 | 18% |
Unknown | 2 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 19 | 49% |
Biochemistry, Genetics and Molecular Biology | 7 | 18% |
Mathematics | 2 | 5% |
Environmental Science | 2 | 5% |
Computer Science | 2 | 5% |
Other | 4 | 10% |
Unknown | 3 | 8% |