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Finally, we showed that the spectrum of errors could be examined for each OTU to help determine if the OTU was derived from a single underlying sequence in the sample population.
Review was both explicit (criterion based) and implicit (holistic) because each method identifies a different spectrum of errors.
To benchmark OPTIMA and OPTIMA-Overlap against other state-of-the-art map aligners, we first developed synthetic datasets that aim to represent two ends of the spectrum of errors in mapping data for eukaryotic genomes.
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However, our review did reveal a broad spectrum of error definition, not previously collated and published.
Although explicit evaluations are presented only for large-eddy simulation, the expressions derived for the power spectra of errors are applicable to direct numerical simulation as well.
This is more than what Ikuno et al. proposed (9.3 μm per diopter) perhaps because their analysis only included healthy subjects without high myopia whilst our group analyzed a wider spectrum of refractive errors (from −22 to +6 diopter).
The factors responsible for the computation of the step-size are: The short-term spectrum of undisturbed error The short-term spectrum of the (measurable) disturbed error.
The short-term spectrum of undisturbed error.
Sequencing with an alternate technology is, nevertheless, the most statistically correct approach for validation, provided the alternate sequencing methodology employs a different approach from the original technology, with a different spectrum of biases, error modes or other limitations.
Analytical expressions for the power spectra of these errors are derived by exploiting the joint-normal approximation for turbulent velocity fields.
For either method, there is a spectrum of median relative error values across the models of MTrue, where the median relative error value is the smallest when the data are simulated under PU1 and largest when data are simulated under PU2.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com