Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Коалесцентная теория× | Тест HKA× | |
|---|---|---|
| Область | Генетика | Генетика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1982 | 1987 |
| Автор метода≠ | John Kingman | Richard Hudson, Martin Kreitman & Montserrat Aguade |
| Тип≠ | Stochastic process model | Statistical test |
| Основополагающий источник≠ | Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248. DOI ↗ | Hudson, R. R., Kreitman, M., & Aguadé, M. (1987). A test of neutral molecular evolution based on nucleotide data. Genetics, 116(1), 153–159. DOI ↗ |
| Другие названия | Kingman Coalescent, n-coalescent | HKA test, Polymorphism divergence test |
| Связанные | 4 | 4 |
| Сводка≠ | Coalescent theory is a probabilistic framework that traces the genealogical history of DNA sequences backward in time to their most recent common ancestor. Developed by John Kingman in 1982, this method forms the foundation of modern population genetics, enabling researchers to understand demographic events, estimate genetic parameters, and reconstruct evolutionary histories from modern genetic data. | The Hudson-Kreitman-Aguade (HKA) test is a statistical method that tests for neutral evolution by comparing levels of within-population polymorphism and between-population divergence at multiple loci. Developed by Hudson, Kreitman, and Aguade in 1987, this test uses the principle that neutral loci should show expected relationships between polymorphism and divergence. Loci deviating from these relationships are candidates for selection. The HKA test is particularly useful for detecting selection in genome-wide surveys because it uses relative comparisons across loci rather than requiring external calibration. |
| ScholarGateНабор данных ↗ |
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