FUBAR: A Fast, Unconstrained Bayesian AppRoximation for Inferring Selection

Model-based analyses of natural selection often categorize sites into a relatively small number of site classes. Forcing each site to belong to one of these classes places unrealistic constraints on the distribution of selection parameters, which can result in misleading inference due to model missp...

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Detaylı Bibliyografya
Asıl Yazarlar: Murrell, Ben, Moola, Sasha, Mabona, Amandla, Weighill, Thomas, Sheward, Daniel, Kosakovsky Pond, Sergei L., Scheffler, Konrad
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Oxford University Press 2013
Konular:
Methods
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC3670733/
https://ncbi.nlm.nih.gov/pubmed/23420840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/molbev/mst030
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