Population Bottleneck Detection
Population Bottleneck Detection is a computational and statistical method in population genomics that identifies significant reductions in effective population size by analyzing genomic signatures such as allele frequency distortions, heterozygosity excess, or site frequency spectrum asymmetries, thereby distinguishing recent demographic contractions from equilibrium population processes.
44
Publications
10.3K
Citations
223
Authors
126
Institutions
Publications per year
2017–2026
9
44
1–5 of 44
223
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126

University of Montana
Missoula, United States
4 h-index
6 publications
6.2K citations

UNSW Sydney
Sydney, Australia
2 h-index
4 publications
985 citations

Université Joseph Fourier
Grenoble, France
2 h-index
2 publications
112 citations
Rocky Mountain Research Station
Fort Collins, United States
2 h-index
2 publications
49 citations
University of Florida
Gainesville, United States
2 h-index
2 publications
73 citations

Huazhong Agricultural University
Wuhan, China
2 h-index
12 publications
543 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
4.4K citations
University College London
London, United Kingdom
2 h-index
6 publications
630 citations
1–8 of 126
7 publications · 1.1K citations
7
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3 publications · 3.4K citations
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3 publications · 279 citations
3
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2 publications · 4.4K citations
2
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2 publications · 131 citations
2
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1–5