Tests for significant differences in selection between two groups of individuals. It makes extensive use of the dndscv R package. In short, the dndscv method estimates the number of nonsynonymous mutations that would be expected in the absence of selection by combining a nucleotide substitution model (196 rates encompassing all possible substitutions in each possible trinucleotide context, estimated from synonymous mutations in the dataset) and a set of genomic covariates which greatly improve the performance of the method at low mutation loads. Then, dn/ds is calculated as the ratio between the observed number of nonsynonymous mutations (n_obs) and its neutral expectation (n_exp). Finally, the significance of dn/ds is computed through a likelihood ratio test, where the null hypothesis corresponds to dn/ds=1.
Package details |
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Maintainer | |
License | `use_mit_license()`, `use_gpl3_license()` or friends to pick a license |
Version | 1.0 |
Package repository | View on GitHub |
Installation |
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