Fig. 1: Detecting multiple selected mutation features. | Communications Biology

Fig. 1: Detecting multiple selected mutation features.

From: Mutations observed in somatic evolution reveal underlying gene mechanisms

Fig. 1: Detecting multiple selected mutation features.The alternative text for this image may have been generated using AI.

a An example of protein with two types of mutations under selection. b The red mutations are under strong selection (they occur three times as often in the data than would be expected under neutral evolution), the blue mutations under weak selection (they occur twice as often as expected under neutral evolution), and the rest of the protein is neutral. c The overall proportion of strongly selected red mutants is increased compared to the expected proportions. However, the blue mutants appear in the same proportion as the neutral expectation. The increase in blue mutations is masked by the larger increase in red mutants. The red mutations can be excluded from both the expected model and the observed data to detect selection of the blue mutants.

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