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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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| Main Authors: | , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Genetics Society of America
2011
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| Ábhair: | |
| Rochtain Ar Líne: | 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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