Sentence examples for mutation rates data from inspiring English sources

The population increase that begins in the 1990's was also visible in the BSPs that used the 25% (8.33×10−5) and 75% (2.23×10−4) estimated mutation rates (data not shown).

Moreover, they are not biased in nucleotide composition and they invariably go extinct at high mutation rates (data not shown).

While mutation rate data are scarce in plants, it seems likely that mutators could also carry a high and immediate indirect cost in plant species with a prominent gametophyte phase (mosses, ferns, and others).

To this end, we examined the relative probability of each mutation (Table 2) using published mutation rate data (1, 8 ).

Reanalysing the raw data I find numerous errors in the transcription of mutation rate data from the original paper.

The mutation rate data for homopolymers and larger microsatellites revealed a striking, overall nonlinear increase in the mutation rate with repeat length.

For this, I followed their methods and transformed mutation rate data by taking the log of X + 0.001, while EPC rates were square root – arcsine transformed [ 1].

Using the mutation rate data I extracted, the level of significance is reduced somewhat (Chi-squared = 5.69, 1 d.f., p = 0.017).

Mutation rate data are valuable resources for probabilistic modeling of genetic relatedness, assessing the significance of finding genotype matches, near-matches, and mismatches [ 18, 20].

Based on mutation rate data from D. melanogaster, scaled to the slightly larger D. serrata genome size [0.215 pg (Gregory and Johnston 2008)], we predicted an average per MA line accumulation of 34 mutations, composed of 19.6 [confidence interval: 16.8; 22.8] single-nucleotide mutations (Keightley et al. 2009) and 14.8 [C.I.: 3.4; 52.2] indels and complex mutations (Haag-Liautard et al. 2007).

This approach uses mutation-rate data for rapidly evolving multiple locus variable-number tandem repeat loci in probabilistic models to identify the most likely source.