Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Тест HKA× | Коалесцентная теория× | |
|---|---|---|
| Область | Генетика | Генетика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1987 | 1982 |
| Автор метода≠ | Richard Hudson, Martin Kreitman & Montserrat Aguade | John Kingman |
| Тип≠ | Statistical test | Stochastic process model |
| Основополагающий источник≠ | Hudson, R. R., Kreitman, M., & Aguadé, M. (1987). A test of neutral molecular evolution based on nucleotide data. Genetics, 116(1), 153–159. DOI ↗ | Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248. DOI ↗ |
| Другие названия | HKA test, Polymorphism divergence test | Kingman Coalescent, n-coalescent |
| Связанные | 4 | 4 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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