Sentence examples for mutations number of from inspiring English sources

DnaSP 3.51 [66] was used to estimate, for both E1-E2 aNS5AS5A regions, the following measures of genetic variability in the viral samples of each patient: number of polymorphic sites (S), total number of mutations, number of haplotypes (nHap) and nucleotide diversity.

Total Unique Mutations: number of somatic mutations in the whole genome for each cancer type removing repetitions.

The total number of mutations, number of polymorphic sites, average number of nucleotide differences and the number of fixed mutations between inbred lines were calculated by using DnaSP v 5.10.

Box plots showing number of somatic mutations, number of protein-altering somatic mutations and number of somatic mutations in candidate driver genes in stage I and stage III patients.

All the sequence polymorphism analyses including calculation of total number of mutations, number of polymorphic sites, the average number of nucleotide differences among duplicated sequences, and significance of Tajima D statistics were conducted by DnaSP v 5.10 [ 30].

All the statistical testing performed in this study—variant allele fraction comparison across different categories of somatic mutations, number of recurrent mutations, and dN/dS ratio suggest that mtDNA somatic substitutions accumulate largely neutrally.

A probability value is used to determine the number of perturbations adaptively in which the number of mutation (number of new antibodies to be generated) is bound by the minimum and maximum number of mutation.

Protein tables provide information on the protein name, mutation, number of residues missing at the N- and C-terminal (in case of fragments), and on the source organism.

The percentage of nucleotide mutations (total number of mutations divided by total number of bases sequenced), amino acid mutations (total number of amino acid changes divided by total number of amino acids sequenced), and the sequence diversity (percent of clones with at least one difference from consensus) were used as indicators of genetic diversity.

Therefore, a high mutation rate (number of genetic mutations over time) will increase the potential for adaptive evolution by increasing the variation on which natural selection can act.

With the addition of the top 1% of recurring mutations, the number of genes increased to 315.