Genetic Drift Modeling
Genetic Drift Modeling is a computational or mathematical framework that quantifies the stochastic changes in allele frequencies within populations over time due to random sampling effects inherent in reproductive success, particularly accentuated in small or isolated populations such as those influenced by founder events.
531
Publications
45.3K
Citations
1.4K
Authors
664
Institutions
Publications per year
2017–2026
87
Parents
531
Mathematical Population Genetics
Ellen Baake, Warren J. Ewens, Anton Wakolbinger · Oberwolfach Reports · 2006 · 1.7K citations
Life Sciences, Biology, Genetics +12
Population differentiation as a test for selective sweeps
Hua Chen, Nick Patterson, David Reich · Genome Research · 2010 · 951 citations · Full text
Estimators for pairwise relatedness and individual inbreeding coefficients
Kermit Ritland · Genetics Research · 1996 · 775 citations · Full text
1–5 of 531
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664

Centre National de la Recherche Scientifique
Paris, France
21 h-index
79 publications
7.4K citations
University of Chicago
Chicago, United States
18 h-index
24 publications
9K citations

Université de Montpellier
Montpellier, France
13 h-index
36 publications
6.3K citations
Harvard University
Cambridge, United States
13 h-index
31 publications
5K citations
University of Oxford
Oxford, United Kingdom
11 h-index
20 publications
1.3K citations
University of Washington
Seattle, United States
10 h-index
11 publications
1.4K citations
University of California, Davis
Davis, United States
10 h-index
16 publications
2.4K citations
Institut des Sciences de l'Evolution de Montpellier
Montpellier, France
9 h-index
24 publications
5.2K citations
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60 publications · 5.4K citations
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43 publications · 3.9K citations
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PNAS · 23 publications · 2.2K citations
21
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13 publications · 1.9K citations
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TPB · 12 publications · 1K citations
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