Title |
Genome-scale analysis of demographic history and adaptive selection
|
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Published in |
Protein & Cell, January 2014
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DOI | 10.1007/s13238-013-0004-1 |
Pubmed ID | |
Authors |
Qi Wu, Pingping Zheng, Yibu Hu, Fuwen Wei |
Abstract |
One of the main topics in population genetics is identification of adaptive selection among populations. For this purpose, population history should be correctly inferred to evaluate the effect of random drift and exclude it in selection identification. With the rapid progress in genomics in the past decade, vast genome-scale variations are available for population genetic analysis, which however requires more sophisticated models to infer species' demographic history and robust methods to detect local adaptation. Here we aim to review what have been achieved in the fields of demographic modeling and selection detection. We summarize their rationales, implementations, and some classical applications. We also propose that some widely-used methods can be improved in both theoretical and practical aspects in near future. |
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Geographical breakdown
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United States | 2 | 3% |
Germany | 1 | 1% |
Portugal | 1 | 1% |
Italy | 1 | 1% |
Switzerland | 1 | 1% |
Unknown | 71 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 36% |
Student > Master | 12 | 16% |
Researcher | 9 | 12% |
Student > Doctoral Student | 6 | 8% |
Student > Bachelor | 4 | 5% |
Other | 4 | 5% |
Unknown | 14 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 45 | 58% |
Biochemistry, Genetics and Molecular Biology | 12 | 16% |
Environmental Science | 3 | 4% |
Mathematics | 2 | 3% |
Unknown | 15 | 19% |