Bandingkan kaedah

	Teori Penggabungan	Analisis Campuran	Ujian Pemilihan Sapuan (D Tajima)
Bidang	Genetik	Genetik	Genetik
Keluarga	Process / pipeline	Process / pipeline	Process / pipeline
Tahun asal	1982	2009	1989
Pengasas	John Kingman	David Alexander & Jonathan Novembre	Fumio Tajima
Jenis	Stochastic process model	Clustering and inference method	Neutrality test
Sumber perintis	Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248.	Alexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19(9), 1655–1664.	Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595.
Alias	Kingman Coalescent, n-coalescent	Population structure inference, Ancestry analysis, ADMIXTURE	Tajima's D test, Selective sweep analysis, Neutrality test
Berkaitan	4	4	4
Ringkasan	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.	Admixture analysis is a population genetics method that infers population structure and individual ancestry from multilocus genotype data. Originally developed by Pritchard, Stephens, and Donnelly (2000) and refined by Alexander, Novembre, and Lange (2009), admixture analysis reveals how genetic variation is distributed among populations and estimates the ancestry fractions of admixed individuals. This technique is essential for understanding human evolutionary history, detecting population stratification in genetic studies, and inferring individual ancestry.	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.