Sentence examples for all possible mutations from inspiring English sources

To put it explicitly, these mutations must represent a subset of all possible mutations that could possibly occur and the subset is shaped by the history of the genome, which is a selective one.

In particular, these methods do not allow information about which parts of the sequence have been mutated or whether all possible mutations for a particular region of interest have been screened.

The combinatorial problem of considering all possible mutations and conformations for each of the mutatable residue positions in a protein poses a significant computational challenge for protein design algorithms.

While the deep mutational scanning is designed to sample all possible mutations, only a fraction of theoretically tolerable mutations have fixed in natural H1 HAs due to the finite timespan during which evolution has been exploring possible sequences (in other words, evolution is not at equilibrium; see Povolotskaya and Kondrashov, 2010).

The distribution of mutational fitness effects (DMFE), that is, the fraction of all possible mutations that are beneficial, neutral or deleterious, is pivotal for evolutionary biology and can provide insights into functional synthesis studies connecting changes in gene sequence to changes in phenotype and fitness [ 21].

Dr. Tsui and his colleagues also are trying to detect all possible mutations in the cystic fibrosis gene so they can devise a test to screen carriers of the gene and warn them of the risk should they have children.

One of IndieBio's most exciting startups, Ranomics, has demonstrated a pipeline that systematically generates "all possible mutation variants" of a disease gene and then tests all of the variants in "model organisms" to see which contain functional defects.

Mathematical challenges kept the Cornell researchers from proving their result for all possible mutation patterns, but Strogatz says they expect it to hold.

Diversity of our phage display library covered almost all possible mutation combinations representing a near complete, unbiased starting variant set.

The interpretation of R j k < 0 follows from Gibbs' inequality which guarantees the probability-weighted average of R j k (n sn, j k, n ns, j k ) over all possible mutation counts to be non-negative.

This generates all the possible mutations at a specific site, in this case within 30 Å of the catalytic centre of E. coli RNAP.