Bayesian Concordance Analysis
Bayesian Concordence Analysis is a statistical framework for species tree inference that estimates the posterior distribution of gene trees and species trees by modeling the concordance among genealogical histories under a Bayesian hierarchical model.
26
Publications
3.1K
Citations
121
Authors
79
Institutions
Publications per year
2017–2026
4
Variants
Bca
Parents
26
Bayesian Estimation of Concordance among Gene Trees
Cécile Ané, B. Larget, David Baum et al. · Molecular Biology and Evolution · 2006 · 529 citations · Full text
BUCKy: Gene tree/species tree reconciliation with Bayesian concordance analysis
Bret Larget, Satish K. Kotha, Colin N. Dewey et al. · Bioinformatics · 2010 · 465 citations · Full text
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University of Wisconsin–Madison
Madison, United States
6 h-index
15 publications
3.4K citations

University of Wisconsin System
Madison, United States
3 h-index
5 publications
435 citations

Zhejiang University
Hangzhou, China
2 h-index
7 publications
179 citations
United States Department of Agriculture
Washington, United States
2 h-index
2 publications
147 citations

Field Museum of Natural History
Chicago, United States
2 h-index
3 publications
1.2K citations
Peng Cheng Laboratory
Shenzhen, China
1 h-index
1 publications
59 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
177 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
1 h-index
4 publications
64 citations
1–8 of 79
4 publications · 216 citations
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3 publications · 786 citations
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MBE · 2 publications · 571 citations
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2 publications · 161 citations
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1 publications · 465 citations
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