However, limits derived from the test design of hydraulic travel time tomography in our synthetic case study prevented us from resolving small scale (10 cm in size) variability of hydraulic conductivity with high discrepancies (up to 5 orders of magnitude).
The intervals with high discrepancies between filtered and unfiltered mappings are those enriched in mtDNA sequences similar to NUMTs or other contaminants, and they are excluded from the calculation of mean mtDNA read depth, which is then controlled for nuclear DNA (chr20) sequencing coverage, sequencing batch, and sample age before transforming to normality by quantile-normalization.
However, it was noticed that in fermentations that were contaminated with the rough yeast, the residual fructose concentration was much higher, with higher discrepancy between glucose and fructose concentrations (ratio fructose to glucose), especially in molasses.
The expanded families with highest discrepancies between Sporothrix and other compared fungi were individually analyzed.
Significant differences were present for the position parameter, with higher discrepancies at points A and B (P < 0.05).
A standard method for zinger filtering exists but produces many false positives and high discrepancy with the true signal.
The 24 trials with one to 10 discrepancies showed mean effect size of 2.1%; the 12 with 11 to 20 discrepancies showed mean effect size of 3.0%; the three with 21-30 dishowedncies showed mean effect size of 5.7%; and five high discrepancy trials, with over 30 discrepancies each, showed a mean effect size of 7.7% (fig 3).
Although the fitted distribution does not match perfectly the empirical P values for RNAfold/ dmax according to the Kolmogorov Smirnov test, the deviations only concern structures with very high discrepancies where empirical P values cannot be estimated accurately.
The high discrepancy group, comprising five trials with over 30 discrepancies each, showed a mean effect size of 7.7%.
Of the 12 % with a higher discrepancy ratio, none was more than 50%% outside of the prediction interval.
