Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Test HKA× | Teorie koalescence× | |
|---|---|---|
| Obor | Genetika | Genetika |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1987 | 1982 |
| Tvůrce≠ | Richard Hudson, Martin Kreitman & Montserrat Aguade | John Kingman |
| Typ≠ | Statistical test | Stochastic process model |
| Původní zdroj≠ | 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 ↗ |
| Další názvy | HKA test, Polymorphism divergence test | Kingman Coalescent, n-coalescent |
| Příbuzné | 4 | 4 |
| Shrnutí≠ | 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. |
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