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Inference of Mutation Parameters and Selective Constraint in Mammalian Coding Sequences by Approximate Bayesian Computation

We develop an inference method that uses approximate Bayesian computation (ABC) to simultaneously estimate mutational parameters and selective constraint on the basis of nucleotide divergence for protein-coding genes between pairs of species. Our simulations explicitly model CpG hypermutability and...

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Detalhes bibliográficos
Main Authors: Keightley, Peter D., Eöry, Lél, Halligan, Daniel L., Kirkpatrick, Mark
Formato: Artigo
Idioma:Inglês
Publicado em: Genetics Society of America 2011
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3070523/
https://ncbi.nlm.nih.gov/pubmed/21288873
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.110.124073
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