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(C) The mutation distributions for the four domains.
The expected mutation distributions were observed in both fresh frozen and FFPE specimens, underscoring the potential utility of OncoMap in the clinical setting.
A summary of the statistical comparison of mutation distributions between all four genotypes is presented in Figure 4F.
The mutation distributions are shown on a diagram of the domain structures of the respective proteins (Fig. 2d).
We evaluated the observed numbers of mutant versus nonmutant sites across comparisons against null expectations calculated based on null expectations of discrete uniform mutation distributions.
DOI: http://dx.doi.org/10.7554/eLife.00534.010 10.7554/eLiFigure3 figureigure 3—figure supplement 2. Analysis of kataegic stretches and mutation distributions of 21 breast cancers.
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Mutation distribution apparently is distinct between mutated genomes, which derived from the same mutagenised population.
(F) Mutation distribution on domains of different heterogeneity.
The present study was designed to determine the mutation distribution of this exon in Kermanshah Province, Iran.
To date, little has been reported on the prevalence of cystic fibrosis in the Ecuadorian population where the mutation distribution appears to differ from that of Europe.
To determine the mutation distribution across different domains, analysis through Fisher's exact test shows that both the kinase domain (P = 0.01075) and proline-rich (P = 0.0312) of LATS1 displayed the highest mutation frequency among all the LATS1 domains.
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