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(This is also not a bad assumption, as mutations with very large destabilizing effects will be evolutionarily unimportant, and mutations with very large stabilizing effects are extremely rare).
By design, our analysis has focused on mutations with very large fitness effects.
Here we consider the category that contains mutations with very strong effects (see background selection theory [ 113, 114]).
This new approach is well suited for investigating mutations with very small effects, which are particularly difficult to quantify by other methods.
MuTect employs a Bayesian classifier to detect somatic mutations with very low allele fractions, requiring only a few supporting reads, followed by carefully tuned filters that ensure high specificity.
Many beneficial mutations are often not seen because they can only be sampled in environments where selection coefficients are similar among mutations, or where there are no mutations with very large selection coefficients.
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Mutations associated with very low fitness might differ from surveyed mutations in their distribution of allelic effects, including the extent of pleiotropy.
These mutations occur with very high frequency in some tumor types.
Rare point mutations associated with very high levels of alternate splicing and very high levels of progerin production lead to particularly severe forms of progeria (12).
In addition, the clinical data from the patient fit well with the features of PNDM linked to a ABCC8 mutation (e.g. de novo mutation associated with very early-onset of the disease and attention disorder) [4], [12].
While the majority of the hitherto characterized pre-mRNA splicing defects, involved in heritable disorders, reside in the donor- and acceptor-splice sites, recent studies have documented several mutations with a very complex splicing outcome [11], [18], [19], [20], [21], [22].
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