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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Autori principali: Murrell, Ben, Moola, Sasha, Mabona, Amandla, Weighill, Thomas, Sheward, Daniel, Kosakovsky Pond, Sergei L., Scheffler, Konrad
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2013
Soggetti:
Methods
Accesso online: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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