Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Sweep Selection (Tajima's D)× | Тест HKA× | |
|---|---|---|
| Область | Генетика | Генетика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1989 | 1987 |
| Автор метода≠ | Fumio Tajima | Richard Hudson, Martin Kreitman & Montserrat Aguade |
| Тип≠ | Neutrality test | Statistical test |
| Основополагающий источник≠ | Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595. 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≠ | Tajima's D test, Selective sweep analysis, Neutrality test | HKA test, Polymorphism divergence test |
| Связанные | 4 | 4 |
| Сводка≠ | Tajima's D is a statistical test designed to detect selective sweeps—recent, rapid fixation of advantageous mutations—from patterns of genetic variation in DNA sequences. Developed by Fumio Tajima in 1989, this test measures deviations from neutrality by comparing different measures of DNA sequence diversity. A significant Tajima's D value indicates departure from neutral evolution, suggesting positive selection, population structure, or demographic events. | 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. |
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