Sentence examples for mutational power of from inspiring English sources

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Forget any purported symbolism about the effects of nuclear radiation on humanity or the mutational power of storytelling to transform a tale into something radically different from its original source.

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Nevertheless, these studies are limited by the sensitivity of the experimental methodologies, which lack the power of detecting small mutational effects and have, instead, proven to be more effective at discovering mutations of major phenotypic impacts.

The classifier built using also BRAF mutational status resulted to have a predictive power of 88.8% and to successfully discriminate the unknown samples when the blind was broken (Table 2), thus the gene expression analysis combined to the BRAF mutational analysis may represent a very useful test to preoperatively discriminate benign from malignant thyroid tumors.

In conclusion, the simple phenotypic results obtained in our fur mutation studies to date, and prospects for informative future analyses illustrate the power of PCR- and chromosomal transformation based mutational analysis of protein structure and function and regulatory circuitry.

To test the predictive power of this correlation, we targeted a mutational swap of top-ranked ET residues in a transcription factor, LRH-1.

In the light of recent data of the ubiquity of mutational biases and weak selective forces, these effects should reduce the power of conservation analyses to define functional regions using comparative genomics data.

Recent analyses of comprehensive mutational catalogs from a malignant melanoma and a lung cancer illustrate the power of this approach (Pleasance et al., 2010a; Pleasance et al., 2010b).

Due to the asynchrony of the cell divisions and the fact that we wish also to track mutational variants, one cannot assume that the number of centrosomes is a power of 2 at any given time.

The inclusion of seven additional features that are less well correlated with the mutational data (positive or negative correlation coefficients ≈ 0.2; see Table S3), increased the predictive power of the model.

The enormous statistical power of this dataset, not affected by selection, gave an elaborate picture of a mutational landscape sculpted by tobacco carcinogen exposure, its sequence preference and several types of DNA repair pathways.

The data presented in these reports [ 10, 11] show the power of whole-genome sequencing to characterize at unprecedented levels of resolution and sequence coverage the many complex mutational signatures found in human cancers induced by environmental exposures.

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